83 jobs found

Southern Glazer's Wine & Spirits seeks a 2027 Summer Data Scientist/Analyst Intern to support analytics in the wholesale wine and spirits industry. You'll work with large sales, inventory, and customer datasets to build insights that guide pricing, assortment, and supply chain decisions. Responsibilities include data cleaning, exploratory analysis, dashboard building, and assisting with predictive models using tools like SQL, Python, and BI platforms. Partner with sales, operations, and finance teams to deliver clear visualizations and recommendations in a collaborative, people-first culture with strong learning opportunities. Responsibilities Support senior data scientists in analyzing sales, inventory, and customer data to uncover trends in wholesale beverage distribution Build and validate predictive models and dashboards to improve forecasting, pricing, and assortment decisions Clean, join, and document large datasets from multiple internal systems using SQL and scripting tools Create clear reports and visualizations for business stakeholders in sales, supply chain, and finance Collaborate with cross-functional teams on experiments and data-driven recommendations Present findings and insights to both technical and non-technical audiences Assist with data quality checks, metric definitions, and governance documentation Stay current on analytics and data science best practices relevant to wholesale and supply chain Required Skills Data analysis SQLPython or RStatistical modeling Data visualization (Tableau/Power BI) Dashboard development Data cleaning and transformation Experimental design/AB testing basics Storytelling with data Excel/Google Sheets

AI Engineer 4 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The Opportunity insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human platform identifies novel, high-impact genetic intervention points, which our TherML platform translates into therapeutics-whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point. To enable that mission, we need a software layer that ties together the scientific, automation, and machine learning platforms - that's our Lab Platform: a harness for science, built as an agentic workflow system that lets scientists drive the lab through an agent. Our bar is that everything in the lab should be agentically accessible (any action a scientist can take, an agent can take), agentically legible (agents understand what the data means in insitro's context, not just how to fetch it), and humanly verifiable (a scientist can always check what an agent did and why). This is real robotics, workflow automation, and applied agent tooling - and your users are in the building with you. You'll work across the stack - front end, backend, and the integrations that reach into instruments, Benchling, and agent runtimes - partnering closely with our machine learning, automation, and biology teams. Based in South San Francisco, this role reports directly to Senior Manager, Software Engineering and offers an in-person hybrid schedule of three days per week. We'll bring you up to speed in the domain of drug development and back your ideas with real trust and mentorship along the way. Responsibilities Full-Stack Ownership Ship Across the Stack: Build the React and TypeScript frontends scientists use every day, the Python services behind them, and integrations that reach instruments, Benchling, and agent runtimes Own It End to End: Take a feature from the first conversation with a scientist through the data model and UI to the alert that fires when it breaks Do the Normal SWE Things: Write code, review design docs, talk to users, and do code reviews that actually make the codebase better Agentic Tooling & Experimentation Chase User Appreciation: Ship things that make scientists say "OMG, this is amazing, thank you so much." Figure Out What's Actually Useful: Test agentic tooling ideas through prototypes, real users, and short iterative loops rather than betting on theory Move the Needle: Contribute work that meaningfully advances insitro's mission and the pace of drug development Cross-Functional Partnership Go Watch the Work: Spend time in the lab observing the workflow before you change it Partner Broadly: Collaborate closely with machine learning, automation, and biology teams to build tools people actually use Keep Humans in the Loop: Design for provenance and verifiability, so a scientist can always check what an agent did and why About You Experience & Qualifications Tenure: 2-4+ years of experience as a professional software engineer Engineering Fundamentals: Working knowledge of AWS or GCP, relational databases, and standard practices like version control and code review Core Competencies Product Instinct: You think like a product person - you want to know who the user is, what they're actually trying to do, and you have opinions about what to build Curious About the Science: You don't need a biology background, but you want to learn the domain rather than treat it as someone else's problem Comfortable in the Gray Area: You can reason clearly about the tradeoffs between quality and speed Fits the Team: You're up for writing design docs, having opinions in code review, and yes, goofing around on Slack. Preferred Qualifications Domain Experience: Experience with LIMS, lab automation, or another life sciences domain Agent/LLM Experience: Experience building with LLMs or agent frameworks - tool and skill design, evaluation, or getting a model to behave reliably against real systems Stack Familiarity: Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $111,000 - $140,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: 401(k) plan with employer matching for contributions Excellent medical, dental, and vision coverage as well as mental health and well-being support Open, flexible vacation policy Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) Quarterly budget for books and online courses for self-development New hire stipend for home office setup Monthly cell phone & internet stipend Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are , and if in doubt, contact us at . About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit .

Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.

Our Team Dandelion Health was founded in 2020 by experts in health tech, hospital systems, academia, and clinical AI. We are building the world's largest AI training and clinical development platform. Today, we pride ourselves on our ability to make data access as easy as possible for AI developers, pharma, and medical devices, while raising the bar for patient safety and data quality. Tomorrow, we will be the place where any healthcare organization can go to build a responsible clinical AI product. Our culture is all about learning from data and improving, so we can help our clients improve health through AI. Meet the rest of our team here. Our Data We partner with health systems to safely and ethically make their de-identified patient data available to AI developers. Currently, the data is acquired from Sharp HealthCare, Sanford Health, and Texas Health Resources - with two additional U.S. health systems joining soon. We have clinical data dating back to July 1, 2016. This data represents over 10 million patients and includes but is not limited to: Structured data (e.g., 100% of the EMR, including some claims) Unstructured text (e.g., clinical notes, radiology reports) Images (e.g., DICOM, pathology) Video Waveforms Continuous streaming monitoring data Your Role You are a healthcare data scientist who knows your way around clinical and electronic health record data. Your primary responsibility is to partner collaboratively with our clients to develop data science solutions and analyze AI-ready datasets to provide key insights using multimodal data. You will curate datasets by identifying patient subpopulations or disease cohorts, and pool multimodal data to drive rapid exploratory AI/ML and Real-World Evidence analyses, model experimentation, and/or model validation. You will lead analytics research from inception to closeout by having ownership over study design, data curation strategies, effort estimation, analytic design, and delivery of final results. You will use your data expertise, programming abilities, and critical thinking skills to support our clients by designing and delivering solutions to help them tackle a broad range of business challenges. Your team's ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health, and demonstrate the value of these data. You will report to the Research Data Science Manager. Responsibilities Your day-to-day responsibilities will include the following: Collaborate with clients to develop creative analytic solutions that create value and address challenges across critical areas of their business. Design statistical analysis plans for evidence generation projects that include methodology, results structure, expected outputs and dataset requirements; Query complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets for analytic and AI use cases; Develop descriptive analyses and in-depth predictive and causal inference models to drive evidence generation on Dandelion data and enhance existing data products; Summarize the methods and results from projects into clear explanations and documentation for internal and external audiences including for submission to conferences and peer-reviewed publications; Support all phases of SQL/analytical programming, data management, quality control, and reporting for analytics projects; Develop code and documentation to deliver high-quality and HIPAA-compliant data products on time to internal and external customers; Create summarized findings and recommendations that are clearly presented and adapted for audiences that have a varying range of technical and clinical experience; Identify and resolve problems using your knowledge, background, and troubleshooting skills; Ensure accuracy, data integrity, and validity of data and analysis in all work; Present to senior leadership as well external audiences You are not afraid to dig into massive, confusing, disorganized new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions and everyone pitches in across the team. Qualifications M.S. or PhD degree in a relevant field, such as Biomedical Informatics, Data Science, Biostatistics, or B.S. with at least seven years of experience Experience in client interaction, crafting project proposals, and leading teams. Background in statistical modeling and real-world data analysis Fluency in Python and SQL 1+ years experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm) Strong technical writing, editing, and communication skills along with a collaborative, client-first mindset Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines Experience working in or with startups is a plus Technology Experiences and Skills We don't expect anyone to have all of the following skills or experiences, but we do seek candidates who are interested in growing their skill sets and working with healthcare data in all its glorious complexity. The Data Team works closely with our Engineering Team to put our work into production and meet client needs. SQL Python and/or R Git and version control Familiarity with encryption methods and writing regular expressions Prior experience querying EDWs or databases and creating reports or analytics for healthcare data Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts Prior experience working with insurance claims data Familiarity with medical terminologies or controlled vocabularies such as ICD-10, SNOMED-CT, LOINC, CPT/HCPCS, NDC, and RxNorm Any medical ontology experience Any NLP experience Any experience working with DICOM or other imaging modalities Experience with OMOP common data model Familiarity with Machine Learning concepts Experience with AWS Note that familiarity with machine learning model development and deployment is not required for this position, but familiarity with high-level ML concepts is a plus. Nature of our work Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it! If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you. There is occasional travel for in-person company working days on roughly a quarterly basis. Team Benefits Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details Professional development days to build your skills Collegial work environment Academic bent towards inquiry and problem solving but start-up speed and flexibility Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively Dandelion is a mission-driven company that is focused on improving patient care

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate with stakeholders to interpret requirements for project components and incorporate feedback into future designs or solution fixes. Translate business requirements by verifying assumptions and escalating potential design issues to appropriate stakeholders. Participate in system design and architecture, refining code plans and contributing to design documentation. Contribute to project estimation and escalate issues that may cause delays. Develop, implement, and maintain code for products, services, or components, applying coding patterns, guidelines, and best practices. Apply debugging tools to verify assumptions and proactively flag issues before they occur. Participate in code reviews to ensure coding standards are followed and address routine pull requests. Create test plans and configure testing procedures to identify and resolve defects for multiple features. Respond to support requests during on-call rotations, troubleshooting issues and deploying fixes under guidance. Leverage and build knowledge of software developer tools to create, debug, and maintain code for components. Remain current in skills by investing time in training resources to improve product availability, reliability, efficiency, observability, and performance. This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). 3+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience. Experience in technologies/software systems or a directly related field (minimum two years). Experience in developing and/or implementing web-based applications including front-end and backend (minimum two years). Experience in system design and architecture for product components. Experience in debugging and troubleshooting software issues. Experience in code review and applying coding standards. Experience in test planning and execution for software features. Experience in responding to support requests and deploying fixes. Experience in using software developer tools for code creation and maintenance. Experience in Compliance is a plus Experience building and testing enterprise-scale web services (minimum one year). Experience working on client-facing project or technical teams (minimum one year). Experience in integrating feedback into design and solution fixes. Experience in mentoring junior engineers and collaborating with cross-functional teams. Experience with Generative AI (GenAI) - LLM agents, RAG systems, NLP, AI assisted investigations Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,000.00 to $ 190,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Staff Software Engineers are senior technical leaders and system thinkers who define, architect, and drive the delivery of complex, large-scale software systems. In this role, engineers spend approximately 50-65% of their time in hands-on technical work - coding, architecting, prototyping, and reviewing - while dedicating the remainder totechnical leadership, cross-functional alignment, and engineering excellence initiatives. Staff Engineers work withmodern tools and platforms (including AI-assisted development, cloud-native services, and automation frameworks) todeliver secure, scalable, and high-quality technology solutions that create measurable business impact in the fintechsector. They operate as force multipliers - partnering with engineering managers, product leads, architects, datascientists, compliance, and operations to shape technical strategy, resolve ambiguity, and raise the engineering baracross teams and disciplines. All roles require digital fluency, including the ability to work with and advocate for emerging technologies such asGenerative AI tools (e.g. GitHub Copilot, ChatGPT, Claude) to accelerate engineering velocity, improve code quality,and support everyday technical decision-making. Key Responsibilities: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines. Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, considering delivery costs and escalating issues that may cause delays. Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices. Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products. Lead code reviews, ensuring adherence to coding standards and providing feedback to team members. Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact. Leverage data analysis and monitoring standards to identify patterns and defects in all environments. Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution. Build, enhance, and identify new developer tools to support programs and applications. Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience in software engineering or a directly related field. Experience in developing full stack (frontend+backend) and/or implementing web-based or mobile applications using AI tools. Experience in a leadership role with or without direct reports. Experience in technologies/software systems or a directly related field. Experience in creating and maintaining test plans and executing testing procedures. Experience in debugging and troubleshooting software issues. Experience in collaborating with cross-functional teams to deliver technical solutions. Experience in code review and applying coding standards. Experience in building or enhancing developer tools. Experience working with container-based technologies. Experience building and testing enterprise-scale web services. Experience in product development. Experience working on client-facing project or technical teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $146,200.00 to $ 233,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Company Description Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Job Description Penguin Random House publishes more of the books people love than anyone else in the world and the Data Science team helps those books find their readers: recommendation systems that surface the right book for the right person, forecasting models that guide print runs and marketing spend, and AI-powered tools that support our publishing teams. We're hiring a Senior AI Solutions Engineer to build the systems behind this next wave of AI work for improving operations: agentic applications, LLM-powered services, and the interfaces (e.g. MCP servers) that connect AI models and assistants to our internal data and tools. You'll work at the intersection of a world-class publishing business and the modern AI stack, and you'll own what you build all the way to production. Specific responsibilities include: Design, build, and operate LLM-powered applications and services (e.g. agentic workflows, retrieval/RAG systems, classification pipelines) over our catalog, sales, and operational data Stand up and maintain MCP servers and tool integrations that connect AI models and assistants to our internal data and systems safely and reliably Own services end-to-end: architecture, implementation, deployment, evaluation, and monitoring in our AWS/Databricks environment Evaluate emerging AI tooling and patterns (agent frameworks, MCP, evaluation harnesses, new model capabilities), run structured pilots, and lead adoption of what works Raise the team's AI engineering capability: run working sessions and internal demos, pair program with scientists, and build internal tools to help accelerate AI usage across the team. Qualifications 3+ years building and shipping production-quality software, including hands-on work with machine learning or AI systems that include the following preferred qualifications: Experience standing up MCP servers or comparable tool-integration layers for AI assistants Experience with cloud ML platforms (AWS, Databricks), model APIs (Bedrock, Anthropic, OpenAI), and vector databases Advanced degree (MS/PhD) in computer science, machine learning, or a related quantitative field Experience applying AI/ML to commercial problems such as demand forecasting, pricing, sales and marketing optimization, recommendation, or search Background in media, publishing, or other content-rich domains Demonstrated fluency with the current LLM stack: retrieval-augmented generation, embeddings, prompt engineering, agentic patterns, and rigorous evaluation of generative systems Strong Python engineering skills with experience in version control, testing, and CI Self-motivated, with strong communication skills and a demonstrated ability to teach and level up teammates. Additional Information The salary range for this position is $180,000 to $220,000. All positions are currently eligible for annual profit award or bonus, subject to Company results. Applications for this role will be accepted through October 8, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. For this position a complete application should include your resume and cover letter, as both are required for consideration. Before applying for any role at Penguin Random House, we recommend you review ou r applicant resources page and our FAQs page. Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. All your information will be kept confidential according to EEO guidelines. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. All your information will be kept confidential according to EEO guidelines. Recruiting-Platform powered by SmartRecruiters .

About BlueLabs BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our inception we've worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach. About the team The Strategic Analytics Team at BlueLabs drives high quality, innovative research and analysis across BlueLabs' client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams. Our team is often called to answer questions like: What are the meaningful messaging takeaways from a survey of industry elites for a major corporation to consider in their paid communication? What political trends should a campaign be aware of, and what are the different pathways to victory? How do we present our models, calculators, and reports, so our partners get the information they need? About the role: As part of the Insights at BlueLabs, you'll be working with a group of analysts and data scientists who work across BlueLabs' client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. This position requires a mix of analysis and data management as well as client presentation and communication. You'll be responsible for hard analysis as well as putting together the data infrastructure, reports, and calculators that will power our solutions as well as creating the client-facing materials that summarize those findings. Analysts at BlueLabs are the ones with the best understanding of the nuances of a client's data and our solutions. They can execute on the perfect solution but can also discover the answer that gets us 95% of the way there is a quicker and more efficient way. Some of our work is templated, but our team excels when they come up with creative solutions to the problems. This will require creating new calculators or analyzing existing outputs in a new light. Some examples of projects you might work on: Analyze polling data to discover trends and insights and then create a report that clearly communicates your findings Build crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents Present your findings to clients and other stakeholders who may be made up of non-technical and/or highly technical people. Mentor analysts or fellows and support their growth and development Such other reasonable tasks may be assigned by management. Tools of the Trade We work closely with our data science team, so you'll need an understanding of statistical concepts, be able to interpret results and explain them to non-analysts We use big data sets so you will need to be comfortable with tools to access information and analyze that information such as SQL and some statistical and/or spreadsheet software We use an array of business intelligence tools to visualize our findings. Members of our team have different strengths such as GIS or Tableau so we look for some experience using such tools We're only successful if we can communicate our findings; writing skills, PowerPoint, Keynote and other tools of the consultant toolbox will help you succeed in this job What we are seeking: You likely have at least a bachelor's degree in a related field with a statistical background or at least 2+ years of experience analyzing data and building reports You are passionate about harnessing data-driven solutions to improve social outcomes You're eager to learn techniques in data management, analysis, and visualization You can recognize patterns and are careful to check assumptions whether they are your own or someone else's You have excellent attention to detail and a keen eye for design Your experience manipulating data to identify clear insights allows you to be able to conduct data analysis even on tight deadlines, where the problem is unstructured, or the guidance is open ended You've created reports and worked with data visualization and business intelligence tools You've created maps with GIS data and used software such as QGIS or ArcGIS You have experience with programming languages such as Python and SQL You have worked with spreadsheet and presentation software (Excel, Google Sheets, PowerPoint, Keynote) What Recruitment Looks Like: The successful candidate will complete up to three interviews (HR phone call, team member interview, and panel interview). There will also be a technical assessment. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied. We often look for explanations of "how or why" so it's helpful to have details ready. What We Offer: BlueLabs offers a friendly work environment and competitive compensation and benefits package including: Salary: $85,000 Premier health, dental, and vision insurance plans 401K matching Unlimited paid time off Paid personal and volunteer leave 13 paid holidays 15 weeks paid parental leave Professional development stipend & tuition reimbursement Macbook Pro laptop & tech accessories Bring Your Own Device (BYOD) stipend for mobile device Employee Assistance Program (EAP) Supportive & collaborative culture Flexible working hours Remote friendly (within the U.S.) Pre-tax transportation options for commuting to our office in Washington, DC Lunches and snacks And more! The salary range for candidates who meet the minimum posted qualifications reflects the Company's good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting. At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. BlueLabs endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Senior Director, People Operations. BlueLabs participates in E-verify. Collection of Personal Information Notice: As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is looking for a Lead/Senior Software Engineer, Full-Stack to join the AI Studio team. C3 AI Studio is the interface to the platform. It provides Developers, Data Scientists, and IT an integrated set of low code and deep code capabilities to build, deploy, operate, and extend Enterprise AI applications at scale. If you're curious about the product, you can check out the demo here. Responsibilities: Design, develop, and maintain performant and scalable full-stack applications. Build and improve visual tools for application development and data science that enable users to build an end-to-end AI application quickly. Collaborate closely with Product Management, User Interaction Designers, and Front-End/Back-End Engineers. Lead cross-team technical design discussions on the application architecture, UI components, UX, back-end and third-party integration, and testing. Rapidly fix bugs, solve problems, and proactively strive to improve our products and technologies. Manage individual project deliverables and mentor junior team members on industry coding standards and design techniques. Help build a team and cultivate innovation. Qualifications: Bachelor of Science in Computer Science, Computer Engineering, or related fields. 5+ years of professional software development experience with JavaScript, Java, or other object-oriented programming languages (8+ for lead) Strong hands-on experience and understanding of object-oriented programming, data structures, algorithms, and web application development. Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular. Real passion for developing team-oriented solutions to complex engineering problems. Thrive in a dynamic, rapidly changing environment and value end-to-end ownership of projects. Excellent verbal and written communication skills to collaborate multi-functionally and improve scalability. Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment. Preferred Qualifications: Advanced degree in engineering, sciences, or related field. Experience with Git or other version control software. Knowledge of Agile development methodology. Knowledge of distributed systems, test-driven development, SQL and NoSQL databases, and performance optimization tools. Experience in leading engineering teams and projects. Experience in building scalable web applications. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $145,000-$219,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.

Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.

Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).