machine learning lead

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Help shape how teams across the firm build and deploy agentic artificial intelligence products&mdash;at scale, with quality, and with measurable impact. You will work on a high-visibility platform that accelerates engineering teams, raises delivery standards, and turns complex business needs into reliable production outcomes. Join a team where strong engineering, thoughtful collaboration, and continuous learning are core to how we operate.</p><p>
As a <b>Applied AI and Machine Learning Lead - Agent Builder Platform at JPMorganChase within Enterprise Technology, AI and Machine Learning &amp; Data Platforms</b>, you will lead the technical design and delivery of agentic AI products and platform capabilities used by engineering teams across the organization. You will translate high-impact business problems into production-grade solutions, from discovery and design through deployment and ongoing operations. You will set a high engineering quality bar while partnering closely with product and stakeholder groups to deliver measurable outcomes.</p><p>
</p><p><b>Job responsibilities</b></p><ul><li>
Lead end-to-end delivery of agentic AI and large language model-powered use cases from problem framing and technical design through production deployment and monitoring.</li><li>
Own core platform services and reusable components that enable teams to build, evaluate, and operate AI agents safely at scale.</li><li>
Establish engineering standards through hands-on system design, rigorous code review, and mentorship to improve reliability, maintainability, and developer experience.</li><li>
Build and operationalize evaluation, testing, and observability capabilities (tracing, metrics, logs, and analytics) to continuously improve solution quality.</li><li>
Implement robust safety and governance patterns, including guardrails, access controls, and audit-ready operational practices aligned to enterprise expectations.</li><li>
Partner with product managers and stakeholders to shape roadmaps, define success metrics, and prioritize work that delivers measurable business impact.</li><li>
Drive cross-functional alignment across engineering, data, security, and risk partners to ensure solutions are secure, stable, and scalable.</li><li>
Contribute to technical documentation, reference implementations, and enablement content that accelerates adoption and responsible usage.</li></ul><p><b>
Required qualifications, capabilities and skills</b></p><ul><li>
Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience</li><li>
Advanced proficiency in Python with strong software engineering fundamentals, including testing, design patterns, version control, and code review practices.</li><li>
Hands-on experience building, evaluating, and deploying machine learning or large language model-enabled systems into production environments.</li><li>
Practical experience with prompt engineering and retrieval-augmented generation, including evaluation methods and quality measurement.</li><li>
Experience designing and operating reliable services, including incident response readiness, performance tuning, and operational stability for data-intensive systems.</li><li>
Demonstrated ability to lead technical decisions and deliver outcomes through ambiguity, balancing speed, risk, and long-term maintainability.</li><li>
Strong communication skills with the ability to explain technical trade-offs to both technical and non-technical stakeholders.</li></ul><p><b>
Preferred qualifications, capabilities and skills</b></p><ul><li>
Experience with agent orchestration frameworks (for example, LangGraph, LlamaIndex, Google ADK or custom orchestration) and evaluation tooling for large language model systems.</li><li>
Experience with continuous integration and continuous delivery practices and containerization (Docker and Kubernetes) for production deployments.</li><li>
Familiarity with vector databases, embedding pipelines, or graph-based memory approaches used in retrieval-augmented generation solutions.</li><li>
Experience with cloud and machine learning platforms (for example, Amazon Web Services, Databricks, or comparable platforms).</li><li>
Experience contributing to AI governance, validation approaches, or guardrail frameworks in enterprise settings.</li></ul><p>
#LI-RB3</p>
<b>ABOUT US</b><br>
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<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world'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><p></p><div><p>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.
</p><div><p>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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
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're setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Lead - Agent Builder Platform

The Hartford

<div><h2 class="jobSectionHeader"><b>Job Details</b></h2>
<div><div><div>Location:</div>
<div>Columbus, OH</div>
</div><div><div>Category:</div><div>
Data &amp; Analytics</div>
</div><div><div>Employment Type:</div>
<div>Full time, Remote
</div></div><div><div>Job Ref:</div><div>
R2624862-174</div>
</div></div><p></p><div><div>AVP Data Science - GD05AE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><h2 class="jobSectionHeader"><b>The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford&rsquo;s Business Insurance. This role partners closely with underwriting, product, actuarial, and technology leaders to deliver scalable, production ready models and ‑AI driven‑ decision systems that support complex risks, bespoke products, and profitable growth across specialty markets.</b></h2><h2 class="jobSectionHeader"><b>
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work in the US without company sponsorship.</b></h2><h2 class="jobSectionHeader"><b>
Primary Job Responsibilities</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or lines of business. Translate enterprise and business‑unit AI priorities into multi‑year portfolio roadmaps and investment plans.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval‑augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Lead and develop Sr. Directors and Directors. Build leadership bench strength through succession planning, coaching, and capability development. Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio. Reinforce shared expectations for quality, evaluation rigor, and production readiness.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Provide portfolio‑level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence. Ensure consistent adoption of approved AI standards, patterns, and guardrails.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Review and thoughtfully evaluate portfolio‑level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade‑offs across quality, grounding, latency, cost, scalability, and regulatory risk.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Accountable for consistent application of evaluation and monitoring practices across the portfolio. Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs. Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure‑mode analysis, and incident response expectations. Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Set portfolio‑level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout‑aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability. Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced. Escalate material risks, trade‑offs, and investment decisions to VPs with clear options and implications.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Partner with senior leaders across Product, Technology, Operations, Claims, Underwriting, Finance, and HR to align Applied AI delivery with business outcomes. Influence portfolio funding, prioritization, and workforce planning through evidence‑based assessments of delivery performance, evaluation outcomes, and risk considerations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Oversee portfolio‑level planning, dependencies, resourcing, and financial stewardship. Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes. Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Skills</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proven ability to lead Sr. Directors and Directors, building durable leadership capacity and consistent operating discipline across organizations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong technical and regulatory fluency across applied AI, including generative and agentic AI, retrieval‑augmented systems, evaluation and monitoring practices, and production AI operations, sufficient to review, inform, and govern senior‑level decisions.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Applied understanding of unstructured data and retrieval approaches, including document ingestion pipelines, OCR, layout‑aware extraction, embeddings, hybrid and dense retrieval, reranking, metadata and lineage management, and PII controls.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance‑by‑design expectations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi‑year horizons.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Ability to influence VPs and senior partners through clear, data‑driven communication of technical trade‑offs, evaluation outcomes, portfolio risks, and business impact.</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Education, Experience, Certifications and Licenses</b></h2><ul><li><h2 class="jobSectionHeader"><b>
12+ years of applicable experience with a Bachelor&rsquo;s degree; fewer years may be accepted with a higher degree. Master&rsquo;s or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.</b></h2></li><li><h2 class="jobSectionHeader"><b>
7&ndash;10+ years leading leaders, large portfolios, or complex programs.</b></h2></li></ul><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$182,400 - $273,600<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div></div></div><p></p>

AVP Applied AI

Arrow Electronics

<div>
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  Position
  <br/>
  <br/>
 </strong>
 Data Scientist / Senior Machine Learning Engineer
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 <strong>
  Job Description
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 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
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 <strong>
  Key Responsibilities
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  <br/>
 </strong>
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  <li>
   Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
  </li>
  <li>
   Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
  </li>
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   Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
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   Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
  </li>
  <li>
   Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
  </li>
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   Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
  </li>
  <li>
   Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
  </li>
  <li>
   Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
  </li>
  <li>
   Strong knowledge of machine learning frameworks and libraries.
  </li>
  <li>
   Expertise in data preprocessing, feature engineering, and model selection.
  </li>
  <li>
   Familiarity with large language models and AI agent design.
  </li>
  <li>
   Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
  </li>
  <li>
   Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience with vectorized databases and unstructured search engines is a plus.
  </li>
  <li>
   A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
  </li>
  <li>
   Publications or contributions to open-source projects are a plus.
   <br/>
   <br/>
  </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
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 <strong>
  Location:
  <br/>
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 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
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  Time Type
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  <br/>
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 Full time
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  Job Category
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 Information Technology
</div>


Data Scientist / Senior Machine Learning Engineer

Stitch Fix

<div><div><h3 class="jobSectionHeader"><b>About Stitch Fix, Inc.
</b></h3><p>Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we're equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what's possible for our clients, while we help you reach your full potential.</p></div><br>
<p></p>
<h1 class="jobSectionHeader"><b>
About the Role</b></h1>
<p>
The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact.</p>
<p>
As Director, Product Algorithms, you will lead the strategy, execution, and people behind our Growth, Styling, and Fix &amp; Freestyle Algorithms portfolios. You'll define how AI, machine learning, experimentation, and analytics shape the future of personalized shopping while building the operating discipline, technical excellence, and cross-functional alignment needed to deliver scalable business results.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li><b>Lead</b> the Product Algorithms portfolio across Growth, Styling, and Fix &amp; Freestyle, setting strategy and driving measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences.</li>
<li><b>Define</b> the vision and roadmap for applying data science, machine learning, AI, experimentation, and product analytics to improve client experiences, stylist effectiveness, and business performance.</li>
<li><b>Drive</b> innovation by identifying, evaluating, and scaling modern AI, machine learning, personalization, and experimentation techniques that create meaningful impact while balancing technical feasibility, execution capacity, and business priorities.</li>
<li><b>Strengthen</b> organizational effectiveness by improving planning, prioritization, experimentation practices, product analytics capabilities, operational readiness, incident management, and cross-functional decision making across the portfolio.</li>
<li><b>Build</b> and develop a high-performing organization of managers and senior individual contributors, fostering technical excellence, strong product leadership, accountability, and collaborative partnerships while representing Product Algorithms with executive stakeholders.</li>
</ul><h2 class="jobSectionHeader"><b>How AI and Tools Show Up in Your Day-to-Day Work</b></h2>
<ul><li>Use AI-powered tools (such as ChatGPT, GitHub Copilot, and other emerging technologies) to improve decision making, productivity, communication, and operational efficiency.</li>
<li>Leverage experimentation platforms, analytics tools, machine learning infrastructure, and product development systems to guide roadmap decisions and measure business impact.</li>
<li>Continuously evaluate and adopt new AI capabilities, technologies, and ways of working that improve team effectiveness and accelerate innovation.</li>
</ul><h1 class="jobSectionHeader"><b>About You</b></h1>
<p>
You are a strategic technical leader who combines deep expertise in machine learning and AI with exceptional product thinking, organizational leadership, and business judgment. You thrive in highly collaborative environments, enjoy solving ambiguous problems, and know how to translate emerging technologies into measurable customer and business outcomes.</p>
<h2 class="jobSectionHeader"><b>
Requirements</b></h2>
<ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred.</li>
<li>10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.</li>
<li>Demonstrated success defining strategy and delivering production machine learning, AI, personalization, or experimentation capabilities that drive measurable product and business outcomes.</li>
<li>Strong technical fluency across modern machine learning, generative AI/LLMs, experimentation methodologies, product analytics, and production algorithmic systems.</li>
<li>Experience building cross-functional partnerships with Product, Engineering, Design, Analytics, Data Platform, Marketing, Merchandising, Finance, and executive stakeholders.</li>
<li>Exceptional strategic thinking, communication, prioritization, problem-solving, and organizational leadership skills, with the ability to influence across technical and non-technical audiences.</li>
<li>Experience using AI tools (such as ChatGPT, GitHub Copilot, or similar technologies) to improve productivity, decision making, collaboration, and the quality of work.</li>
<li>This position requires the ability to sit for extended periods of time, use a computer and standard office equipment, and communicate effectively in both written and verbal formats.</li>
</ul><h2 class="jobSectionHeader"><b>Nice to Have</b></h2>
<ul><li>Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field.</li>
<li>Experience leading AI- or ML-driven consumer products within e-commerce, marketplaces, retail, recommendations, personalization, or digital consumer experiences.</li>
<li>Experience building or evolving experimentation platforms, product analytics capabilities, or AI governance and operational excellence practices.</li>
<li>Familiarity with large-scale recommendation systems, ranking models, generative AI applications, causal inference, optimization, or reinforcement learning.</li>
<li>Experience leading organizations through significant technical transformation, organizational scaling, or AI adoption initiatives.</li>
</ul><div><p><i>
This link</i><i> leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.</i></p>
<p>
Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy</p>
<p><b>
Recruiting Fraud Alert:</b></p>
<p>
To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.</p>
<p>
Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.</p></div></div><p></p>

Director, Data Science & Algorithms - CX Product Experiences

Russell Tobin

<div>
 <p>
  Job Description
 </p>
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  <br/>
 </p>
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  <br/>
 </p>
 <p>
  <strong>
   Senior Technical Recruiter &ndash; AI &amp; Machine Learning
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Russell Tobin is partnering with an innovative technology organization that is expanding its AI recruiting team. We are seeking an experienced Senior Technical Recruiter who has successfully hired top engineering talent in highly competitive markets.
 </p>
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  <br/>
 </p>
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  This is an opportunity to own full-cycle recruiting for cutting-edge technical positions while partnering directly with senior leadership and hiring managers across the business.
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  <br/>
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  Responsibilities
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  <br/>
 </p>
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   Lead full-cycle recruiting for highly specialized technical roles.
  </li>
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   Recruit top talent across Artificial Intelligence, Machine Learning, Data Science, and Engineering.
  </li>
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   Build and execute proactive sourcing strategies to identify passive candidates.
  </li>
  <li>
   Partner directly with hiring managers to develop recruiting strategies and establish hiring priorities.
  </li>
  <li>
   Provide market intelligence and influence hiring decisions through data-driven recommendations.
  </li>
  <li>
   Manage multiple high-priority searches simultaneously while delivering an exceptional candidate experience.
  </li>
  <li>
   Build strong talent pipelines for future hiring needs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Qualifications
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   6+ years of technical recruiting experience with significant in-house recruiting experience.
  </li>
  <li>
   Proven success recruiting for AI, Machine Learning, Prompt Engineering, Data Science, or related engineering disciplines.
  </li>
  <li>
   Experience recruiting Software Engineers, Machine Learning Engineers, AI Engineers, Applied Scientists, or similar technical talent.
  </li>
  <li>
   Strong sourcing capabilities using LinkedIn Recruiter, Boolean searches, and other talent acquisition tools.
  </li>
  <li>
   Ability to effectively partner with and influence demanding hiring managers.
  </li>
  <li>
   Excellent communication, organization, and stakeholder management skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Preferred Qualifications
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience recruiting within robotics or autonomous systems.
  </li>
  <li>
   Experience hiring Prompt Engineers, Audio AI Engineers, or other emerging AI disciplines.
  </li>
  <li>
   Background supporting high-growth technology organizations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Compensation &amp; Benefits
 </p>
 <ul>
  <li>
   Ba
   <strong>
    se salary: $150,0
   </strong>
   00&ndash;$170,000
  </li>
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   Performance bonus
  </li>
  <li>
   Fully remote within the United States Opportunity to join a rapidly growing organization focused on next-generation AI technologies
  </li>
 </ul>
</div>


Senior Technical Recruiter

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data &amp; Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p>
<p></p><p>As a Machine Learning Scientist &ndash; Natural Language Processing (NLP) - Senior Associate, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.</p>
<p></p><p>Job responsibilities
</p><ul><li>Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
</li><li>Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
</li><li>Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
</li><li>Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
</li></ul><p></p><p>Required qualifications, capabilities, and skills</p>
<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 2 years of industry or research experience in the field
</li><li>Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and 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>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
</li></ul><p></p><p>Preferred qualifications, capabilities, and skills
</p><ul><li>Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
</li><li>Knowledge in search/ranking 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 or Deep Learning at a major conference or journal
</li></ul><p></p><p>#MLCOE_jobs</p>
<p>#CDAO_CAO_jobs</p>
<b>ABOUT US</b><br>
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<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world'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><p></p><div><p>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.
</p><div><p>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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
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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're setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence

<div><b>JOB DESCRIPTION</b><br>
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<p>Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern <b>LLM-based</b> methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are <b>reliable, secure, and scalable</b> in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.</p>
<p>As an Applied AI Engineer-Senior Associate within the Consumer &amp; Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p>
<p><b>Job Responsibilities</b></p>
<ul><li>Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li>
<li>Develops secure and high-quality production code, and reviews and debugs code written by others</li>
<li>Drives decisions that influence the product design, application functionality, and technical operations and processes</li>
<li>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li>
<li>Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li>
<li>Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture</li>
<li>Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions</li>
<li>Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies</li>
<li>Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics</li>
<li><p>Promote software and model quality, integrity, and security across the organization</p>
</li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p>
<ul><li>BS in Computer science or similar fields with 5+ years experience or MS in Computer science or similar fields with 3+ years experience, with training and work experience in LLM/NLP and search.
</li><li>Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments</li>
<li>Experience in machine learning frameworks, ML Ops tools and practices.
</li><li>Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)</li>
<li>Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
</li><li><p>Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)<b>
</b></p></li></ul><p></p><p><b>Preferred qualifications, capabilities, and skills</b></p>
<ul><li>Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
</li></ul><b>ABOUT US</b><br>
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<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>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.
</p><p></p><p>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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
<br>
<div>Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.<br>
</div><div></div><br>
<div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Applied AI ML-Vice President

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