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JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>As part of the Commercial &amp; Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.</p>
<p></p><p>As a Senior Associate Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payment's ecosystem will also be a part of your responsibilities.
</p><p></p><p><b>Job Responsibilities:</b>
</p><ul><li>Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments' domain.
</li><li>Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
</li><li>Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
</li><li>Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.
</li></ul><p></p><p><b>Required qualifications, capabilities, and skills:</b>
</p><ul><li>Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
</li><li>Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
</li><li>Extensive knowledge in the design and development of agentic systems and the tooling ecosystem such as LangChain, LangGraph, Model Context Protocol (MCP), DSPy, etc.
</li><li>Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.
</li><li>Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.
</li><li>Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms.
</li></ul><p></p><p><b>Preferred Qualifications, capabilities and skills</b>
</p><ul><li>Experience in the financial services industry, particularly within investment banking operations.
</li><li>Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
</li><li>Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc.
</li></ul><b>ABOUT US</b><br>
<br>
<br>
<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>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML Senior Associate

stuut

<div><p>Stuut is transforming accounts receivable for B2B companies&mdash;making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One.</p><p></p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics.</p><p></p><p>
This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it.</p><p></p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><ul><li><p>
Build and own our data infrastructure from the ground up &mdash; design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems</p></li><li><p>
Build the transformation and semantic layer that serves as the single source of metric truth across customer-facing analytics, internal reporting, and our AI/ML systems</p></li><li><p>
Design the canonical data model that normalizes information across heterogeneous source systems, with quality tests and observability built in from day one</p></li><li><p>
Build the event and signal pipelines that turn product interactions and outcomes into clean, labeled data &mdash; the foundation for analytics, ML, and intelligent product features</p></li><li><p>
Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into everything we ship</p></li><li><p>
Implement DataOps best practices so our data &mdash; and the AI features built on top of it &mdash; stays timely, accurate, and trusted</p></li><li><p>
Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions</p></li><li><p>
Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
You Might Be a Fit If You&hellip;</b></h3><ul><li><p>
Have 3+ years of hands-on experience building production data pipelines using Python</p></li><li><p>
Know your way around SQL and modern cloud data warehouses; experience with Snowflake or BigQuery is a plus</p></li><li><p>
Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar &mdash; and have opinions on what good looks like</p></li><li><p>
Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces</p></li><li><p>
Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable</p></li><li><p>
Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations &mdash; and have battle scars to show for it</p></li><li><p>
Care deeply about data quality and observability &mdash; freshness, lineage, automated testing, and anomaly detection as first-class concerns</p></li><li><p>
Have experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure (bonus, not required)</p></li><li><p>
Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack</p></li><li><p>
Have experience (or strong interest) in fintech, B2B SaaS, or financial data &mdash; understanding AR/AP workflows is a big plus</p></li></ul><p><b>
Compensation</b></p><ul><li><p>
Top-of-market salary and equity package</p></li><li><p>
Benefits (for U.S.-based full-time employees)</p></li><li><p>
Medical, dental &amp; vision insurance coverage for you</p></li><li><p>
401(k) &amp; Match</p></li><li><p>
Equity</p></li><li><p>
Flexible PTO</p></li><li><p>
Parental Leave</p></li></ul><p>
Compensation Range: $135K - $190K</p></div>

Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.<br>
<br>
As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.<br>
<br>
Key job responsibilities<br>
Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems<br>
Disambiguate problems to propose clear evaluation frameworks and success criteria<br>
Work autonomously and write high quality technical documents<br>
Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production<br>
Partner closely with other scientists to deliver large, multi-faceted technical projects<br>
Share and publish works with the broader scientific community through meetings and conferences<br>
Communicate clearly to both technical and non-technical audiences<br>
Contribute new ideas that shape the direction of the team's work<br>
Mentor more junior scientists and participate in the hiring process<br>
<br>
About the team<br>
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 172,400.00 - 223,400.00 USD annually</div><p></p>

Applied Scientist, Ads Measurement Science

Neara

<div>
 Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
 <br/>
 <br/>
 We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
 <br/>
 <br/>
 By simulating extreme weather and structural stress at a network-wide scale, we empower the world&rsquo;s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
 <br/>
 <br/>
 Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
 <br/>
 <br/>
 <strong>
  Data Scientist
  <br/>
  <br/>
 </strong>
 As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation, structural loading, and electrical connectivity. Your work will drive product direction with high visibility, highlight grid expansion opportunities, identify aging and risky infrastructure, and help our customers understand where to build and invest. Working alongside ML Engineers and product-facing engineering teams, your ideas will ultimately take shape as new product features that expand what Neara is capable of doing, and as new infrastructure buildouts for the energy grid itself.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Model accurate digital twin electric networks from imperfect data using AI, deep learning, and classical ML algorithms.
  </li>
  <li>
   Surface meaningful analytics and metrics such as wildfire risk that help guide customer buildout of electrical infrastructure.
  </li>
  <li>
   Advise the company on what our data says and use that understanding to inform Neara&rsquo;s strategy.
  </li>
  <li>
   Conduct experiments and A/B tests to improve our modeling of the grid.
  </li>
  <li>
   QA and improve our predictive models; identify data issues such as distribution drift, overfitting, or test set leakage.
  </li>
  <li>
   Craft scalable data pipelines to work with a variety of data sources, including LiDAR, aerial photography, photogrammetry and GIS.
  </li>
  <li>
   Mentor others in best practices for model training, data analytics, and building data-driven products.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A data scientist, ML scientist, data engineer, or similar with 3-6 years of experience at technical, data-driven companies operating in complex environments. Geospatial data or power grid experience are a plus.
  </li>
  <li>
   You have a strong intuition for data with good communication skills and experience sharing your findings with customers and senior leaders.
  </li>
  <li>
   Demonstrated experience with AI and Machine Learning and a keen intuition for data modeling.
  </li>
  <li>
   Experience translating your models into both experiments and deployable software.
  </li>
  <li>
   Proficiency in data storage and ETL technologies, such as Parquet, Databricks, Snowflake, PostgreSQL, Spark, and DynamoDB.
  </li>
  <li>
   Comfort working in an AWS cloud environment.
  </li>
  <li>
   Excellent problem-solving skills as applied to new domains.
  </li>
  <li>
   Ability to work effectively asynchronously and cross-functionally on novel, cutting-edge problems.
  </li>
  <li>
   Ability to own problems and proactively approach challenges.
  </li>
  <li>
   Prior experience in the energy industry is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with a sophisticated, multi-modal data stack, including LiDAR, satellite imagery, and physics-enabled digital twins, to solve high-stakes engineering problems that most data scientists only see in theory.
  </li>
  <li>
   Your models will directly prevent wildfires and mitigate disaster risks across millions of kilometers of infrastructure, moving beyond "digital metrics" to harden the real-world energy grid.
  </li>
  <li>
   You won't just build models; you&rsquo;ll advise the company on data strategy and see your experiments evolve into core product features that dictate how the world&rsquo;s largest utilities invest.
  </li>
  <li>
   We offer a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our mission and benefit directly from the company&rsquo;s rapid global scale.
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $160K - $190K
</div>


Data Scientist

Tessera Labs

<div>
 About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise &mdash; with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are looking for a Frontend Engineer who thrives in a fast-paced, high-ownership startup environment. This is a hands-on role for a self-starter who can take ownership of the user experience from concept to deployment, iterate quickly based on feedback, and optimize for speed, usability, and performance. You will design and build sophisticated UI components, interactive dashboards, and data visualizations that directly impact end users.
 <br/>
 <br/>
 If you love solving challenging UI problems, shipping polished interfaces at startup speed, and working in a collaborative, low-ego environment, this role is for you.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Rapid Feature Development &amp; Deployment
  </li>
  <li>
   Build sophisticated data visualization interfaces, workflow management UIs, and real-time dashboards.
  </li>
  <li>
   Design and maintain scalable component libraries with consistent design patterns.
  </li>
  <li>
   Implement complex client-side state with optimistic updates and real-time synchronization.
  </li>
  <li>
   Create intuitive UIs for AI model interactions, data pipeline management, and enterprise system integrations.
  </li>
  <li>
   Optimize for speed, usability, and performance without compromising quality.
  </li>
  <li>
   Performance Optimization &amp; Scalability
  </li>
  <li>
   Continuously identify and fix performance bottlenecks in frontend systems.
  </li>
  <li>
   Startup Mindset: Autonomy &amp; Execution Speed
  </li>
  <li>
   Take initiative&mdash;identify problems and build solutions without waiting for direction.
  </li>
  <li>
   Make trade-offs between speed and long-term maintainability based on business needs.
  </li>
  <li>
   Work in a high-ownership environment, making architectural and UI design decisions as needed.
  </li>
  <li>
   Quickly adapt to changing priorities, tight deadlines, and startup pivots.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of Frontend development with advanced patterns (custom hooks, complex state management, performance optimization, client/server-side separation).
  </li>
  <li>
   Expertise in TypeScript (complex generics, utility types, strict typing in production applications).
  </li>
  <li>
   Strong experience with the modern React ecosystem (SSR -- TanStack Start, NextJS, data fetching and global state management libraries).
  </li>
  <li>
   Proven track record in enterprise UI development (component libraries, design systems, accessibility standards).
  </li>
  <li>
   Performance optimization skills (memoization strategies, render optimization, virtualization).
  </li>
  <li>
   Strong problem-solving skills and ability to execute quickly with minimal guidance.
  </li>
  <li>
   Experience working in agile, fast-paced startup teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with data visualization (charts, graphs, interactive dashboards).
  </li>
  <li>
   Real-time UI patterns (WebSocket integration, live updates, optimistic UI).
  </li>
  <li>
   Enterprise authentication (SSO, role-based access control, session management).
  </li>
  <li>
   Experience integrating AI/ML models into production applications.
  </li>
  <li>
   Familiarity with building developer-facing tools (code editor integrations, syntax highlighting, diff viewers).
   <br/>
   <br/>
  </li>
 </ul>
 No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs&rsquo; name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
 <br/>
 <br/>
 Compensation Range: $200K - $250K
 <br/>
 <br/>
</div>


Software Engineer, Frontend

Humana

<div><h1 class="jobSectionHeader"><b>Become a part of our caring community</b><br>
</h1>
The Infrastructure Operations Lead translates business needs into technical systems solutions and architectural roadmaps. The Lead Enterprise Architect works on problems of diverse scope and complexity ranging from moderate to substantial.<p></p><p>
The Infrastructure Operations Lead is an expert in 24/7 operations with high performing and scaling systems that meet a high degree of uptime. An expert in all facets of Cloud and DC hosting operations Experience communicating updates and resolutions to customers and other partners with customers and internal stake holders. The ideal candidate will have expert knowledge in Kubernetes (AKS/GKE) and has previous hands-on experience in containerized environments using Automation capabilities.</p><p>
In addition, this Leader will spearhead the research, evaluation and deployment of Artificial Intelligence (AI) and Generative AI (GenAI) capabilities within the Infrastructure Operations domain. This role will blend traditional Infrastructure management with next-generation AI-driven automation, predictive analytics, and intelligent operational enhancements to improve system reliability, efficiency and scalability.</p><p>
By bridging traditional IT Operations with emerging AI technologies, this role will accelerate digital transformation and enhance system reliability. Additionally, it will reduce operational overhead while ensuring compliance with healthcare regulations, such as HIPAA and PHI. This individual will serve as a technical innovator and cross-functional collaborator, driving the roadmap for AI-augmented Infrastructure Operations in a high-impact, patient-centered environment.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>
Lead and provide direction for our Managed Service Provider (MSP)</li><li>
Lead Managed Service Provider in Operations for Azure, GCP and AWS Cloud environment</li><li>
Drives moderate to complex processing improvements through optimization, enhancements and implementation of new operational features and functions around Cloud compliance, metrics/reporting and cost optimization</li><li>
Provide senior level expertise on decisions and priorities regarding the enterprises overall Cloud Operations strategy, consumption, and optimization opportunities - understand Cost controls and the various cost optimization techniques</li><li>
Identifies, drives and assists in the implementation of opportunities to standardize Cloud environments</li><li>
Provides Coud governance, processes and technical advisory support to business units and projects by working cross-functionally and provides recommendations that support the business needs</li><li>
Participant as required (Level 2/3 escalation point) for Incident Management</li><li>
Participate and develop client relationships within Operations, Business partners, Managed Service Providers and Cloud Providers</li><li>
Work with cross-functional teams to support the engineering and implementation of new Cloud applications or solutions and define the related risks and onboard new capabilities</li><li>
Ability to communicate at all levels within an organization and influence strategic direction</li><li>
Ability to work with minimal supervision, making decisions based upon priorities, schedules and understanding business initiatives</li><li>
This leader will explore and prototype AI-driven solutions to automate incident response, predict system failures, summarize complex telemetry data, and develop intelligent copilots to support Operations teams</li><li>
Lead research and evaluation of cutting-edge AI and GenAI tools applicable to Infrastructure Operations (e.g., LLMs, vector databases, predictive analytics)</li><li>
Design and prototype AI-driven systems for automated incident detection, anomaly classification, infrastructure forecasting/resiliency &ndash; leading to lower MttR and manual overhead in mission-critical environments</li><li>
Develop and lead the strategic roadmap for AI adoption in Infrastructure Operations</li><li>
Collaborate with Infrastructure and Cloud Operations teams to pilot and integrate AI/GenAI features into critical workflows</li><li>
Modernize observability and alerting using AI/ML models for proactive monitoring and self-healing actions</li><li>
Lead R&amp;D of GenAI solutions for predictive alerting, incident triage and infrastructure automation</li><li>
Build AI copilots and natural language tools for infrastructure operations teams</li><li>
Integrate LLMs into observability platforms for real-time RCA and log summarization</li><li>
Pilot and productionize GenAI-based assistants, bots, and copilots to support ticket triage, knowledge management and resolution workflows</li><li>
Identify automation opportunities and implement AI-enhanced runbooks, workflows and self-healing mechanisms</li><li>
Contribute to a strategic roadmap for GenAI maturity within Infrastructure &amp; Operations, including tools, governance and organizational readiness</li><li>
Partner with internal data science and clinical innovation teams to create proofs of concept, build ML/GenAI pipelines, and integrate with existing toolchains (e.g., ServiceNow, Splunk, Terraform)</li><li>
Autonomous log summarization, RCA generation and playbook suggestions</li><li>
Natural language interfaces for querying system health or telemetry</li><li>
Act as a GenAI ambassador, helping Infrastructure Operations teams upskill in AI-augmented technologies and use cases</li></ul><h1 class="jobSectionHeader"><br>
<b>
Use your skills to make an impact</b><br>
<b>
</b></h1><p><b>Required Qualifications</b></p><ul><li>
Bachelor's in Computer Science, Artificial Intelligence, Healthcare Informatics, or a related field</li><li>
10+ years in infrastructure operations or engineering, with at least 3+ years of hands-on involvement in AI/ML or GenAI R&amp;D</li><li>
Deep understanding of large language models (LLMs), vector databases, retrieval-augmented generation (RAG), and model orchestration (e.g., LangChain, Haystack).</li><li>
Experience integrating AI/GenAI capabilities with infrastructure automation tools (Terraform, Ansible, Python, Bash)</li><li>
Familiarity with healthcare systems and compliance frameworks (HIPAA, HITRUST)</li><li>
Proficiency with observability and telemetry platforms (e.g., Splunk, DynaTrace, SolarWinds) and AI-driven monitoring</li><li>
Strong problem-solving and experimentation mindset, with the ability to move from concept to pilot rapidly</li><li>
Experience with Continuous Integration and Deployment Pipelines, i.e. Azure DevOps, Jenkins, Git, Git Hub</li><li>
Has hands on scripting experience using one of the following: Terraform, Cloud Formation, PowerShell, Azure CLI, Python, JSON, Perl or Bash</li></ul><p></p><p><b>
Preferred:</b></p><ul><li>
Master's degree</li><li>
Azure, AWS, GCP, ITIL and/or SRE certifications</li><li>
Experience with GenAI platforms (e.g., Azure OpenAI, Google Vertex AI)</li><li>
Experience deploying or evaluating open-source LLMs or fine-tuning models for infrastructure use cases</li></ul><p></p><p><b>
Additional Information</b></p><p></p><p><b>
Work-At-Home Requirements</b></p><ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul><p></p>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.<p></p><p><b>
Scheduled Weekly Hours</b></p><p></p>
40<p></p><p><b>
Pay Range</b></p>
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.<br>
<p></p>
$142,300 - $195,700 per year<br>
<p></p>
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.<p></p><p><b>
Description of Benefits</b></p>
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<p></p><h1 class="jobSectionHeader"><b><br>
About us</b><br>
</h1>
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.<p></p><p><br>
<br>
<b>Equal Opportunity Employer</b></p><p></p><p>
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</p></div>

Infrastructure Operations Lead Cloud and AI GenAI Enablement

TikTok

<div></div><div><div>New York
<div></div>Regular
<div></div>R&amp;D - Security
<div></div>Job ID: A63028
</div><div>Responsibilities</div>
<div>About the team The AI &amp; Systems Integrity team is seeking highly strategic and execution-oriented Data Protection Lead to build and drive a world-class data protection program in one of the most complex and fast-moving technology environments in the world. This role sits at the intersection of security, privacy, governance, engineering, and business enablement, and is responsible for defining and scaling the frameworks, controls, and operating mechanisms that protect data across products, platforms, and internal systems. About the Role The ideal candidate combines strong technical depth with program leadership, and is equally comfortable shaping company-wide strategy, influencing senior cross-functional stakeholders, and driving operational execution. They should bring a practical understanding of data protection risks in modern technology ecosystems, including cloud environments, large-scale data platforms, AI/ML workflows, and globally distributed operations. This is a high-impact leadership role for someone who thrives in ambiguity, can operate across organizational boundaries, and is motivated by building durable, scalable controls that enable the business while strengthening trust, security, and compliance. Key Responsibilities - Define and lead the company&rsquo;s data protection strategy across data discovery, handling, access governance, retention, transfer, and protection controls. - Build and scale data protection programs, frameworks, and operating models that can support a large, complex, and rapidly evolving technology organization. - Partner closely with Security, Privacy, Legal, Compliance, Infrastructure, Engineering, Product, Data, and Operations teams to design and implement controls that are both effective and practical. - Drive governance for high-risk data use cases, including internal platforms, analytics environments, AI/ML pipelines, and cross-border data flows. - Establish risk-based policies, standards, and control requirements for protecting regulated and business-critical data. - Lead efforts to identify data protection gaps across systems, processes, and organizations, and drive remediation plans with clear accountability and measurable outcomes. - Translate regulatory, legal, and policy requirements into scalable technical and operational controls. - Influence platform and product design decisions early in the development lifecycle to ensure data protection requirements are incorporated upstream. - Develop and monitor key program metrics, control health indicators, and executive reporting to provide clear visibility into data protection posture, risk trends, and remediation progress. - Support internal reviews, regulatory inquiries, customer commitments, and audits related to data protection controls and governance. - Build strong cross-functional alignment at senior levels and serve as a trusted partner to leadership on high-priority data protection decisions. - Drive continuous improvement by balancing risk reduction, operational efficiency, and business velocity.</div>
<div>Qualifications</div>
<div>Minimum Qualifications - Bachelor&rsquo;s degree in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience along with 5+ years of experience in data protection, security, privacy engineering, security governance, information protection, or a related field in a large-scale technology environment. - Proven experience leading cross-functional programs that span security, privacy, legal, engineering, product, and operations as well as a strong understanding of core data protection domains, including data discovery and classification, encryption, tokenization, key management, access control, data lifecycle management, and secure data handling. - Experience designing or operationalizing controls for data across cloud, data platform, and distributed system environments while having demonstrated ability to translate complex regulatory or policy requirements into practical and scalable control frameworks. - Strong executive communication skills, including the ability to influence senior leaders, drive decisions, and communicate risk clearly and concisely. - Experience operating in ambiguous, fast-paced environments with multiple stakeholders and competing priorities. - Strong program management and execution skills, with a track record of driving measurable outcomes at scale. - Technical fluency sufficient to engage deeply with engineering and infrastructure teams on system architecture, control design, and implementation tradeoffs. Preferred Qualifications - Experience building or leading data protection programs at a large consumer technology, platform, cloud, or AI-driven company. - Experience with data governance in AI/ML environments, including training data, model development pipelines, and evaluation workflows while having Familiarity with major global regulatory and compliance frameworks related to privacy, security, and data governance. - Deep understanding of how to drive security and governance programs through influence rather than direct authority while displaying Strong judgment in balancing control rigor with business practicality and speed. - Experience with large-scale data ecosystems, including data lakes, warehouses, streaming platforms, and internal developer platforms while possessing Experience leading globally distributed initiatives across multiple regions, business units, or product lines. - Advanced degree in a relevant technical discipline is a plus.</div>
<div>Job Information</div>
<div><div>【For Pay Transparency】Compensation Description (Annually)<div><br>
<div><p>The base salary range for this position in the selected city is $199800 - $374400 annually.<br>
</p><p>Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.<br>
</p><p>Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).<br>
</p><p>The Company reserves the right to modify or change these benefits programs at any time, with or without notice.<br>
</p><p>For Los Angeles County (unincorporated) Candidates:<br>
</p><p>Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:<br>
</p><p>1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;<br>
</p><p>2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and<br>
</p><p>3. Exercising sound judgment.<br>
</p></div></div></div><div>About USDS<div><br>
<div><p>TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.<br>
</p><p></p><p>On-site presence across teams allows the company to operate with greater speed, alignment, and agility &mdash; especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.<br>
</p></div></div></div><div>Why Join Us<div><br>
<div><p>Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.<br>
</p><p>We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an &quot;Always Day 1&quot; mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br>
</p><p></p><p>Diversity &amp; Inclusion<br>
</p><p>TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br>
</p></div></div></div><div>USDS Reasonable Accommodation<div><br>
<div><p>USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA</p></div></div></div></div></div><p></p>

Data Protection Lead - USDS

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