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Data Scientist

Phoenix AZ (Hybrid).

Role Summary

Data Scientist responsible for translating business requirements into actionable insights, independently developing machine learning models, designing end-to-end MLOps pipelines, and ensuring AI governance and compliance for deployed solutions.

Must Have: Python, R , ML/OPS

Key Responsibilities

• Gather and understand business requirements; convert them into analytical solutions aligned with business objectives.
• Develop, validate, and optimize statistical, probabilistic, and traditional ML models independently.
• Design and implement end-to-end MLOps pipelines including CI/CD (GitHub Actions) and cloud deployments using Kubernetes.
• Manage model lifecycle including deployment, monitoring, retraining, and versioning.
• Ensure AI governance, compliance, model documentation, explainability, and audit readiness for existing and new models.
• Collaborate with onshore/offshore teams to ensure clear ownership and timely delivery.
• Provide regular progress updates and present solutions to clients and stakeholders.
• Mentor junior data scientists and promote best practices.

About the Role

We are looking for an IT Project Manager to support an Online Merchandising Solutions team, owning delivery for a core merchandising tool, along with a small set of supporting tools. This role requires a hands‑on, strategic PM who can manage complex initiatives, coordinate across technical and business stakeholders, and drive execution for AI and flowpath redesign efforts. You will develop effective plans to control project scope, schedule, and cost, ensuring adherence to the project plan. The assignment tasks will include creating and coordinating documentation to manage and communicate changes to the project baseline, as well as maintaining detailed logs of all submitted changes and their status.

Key Responsibilities:

Own end‑to‑end project delivery for main tool

Develop an effective plan for controlling project scope, schedule, and cost, and monitor project execution to ensure adherence to the plan

Lead initiatives focused on AI redesign and flowpath optimization

Manage and coordinate work across additional development resources

Act as the primary point of contact for the key stakeholder group

Prepare written status reports, scorecards, and presenting project reviews to senior leadership

Track timelines, risks, dependencies, and deliverables using Jira

Ensure alignment across stakeholders and drive projects to completion

Required Qualifications

3-5+ years in IT Project Management

Experience in cloud-based migrations

Jira

Retail or IT‑retail experience

Nice to have

Cloud/technical background

UI exposure

GBQ

GitHub

AG grid

We're building the next generation of AI-powered development tools. Looking for an engineer to:

Develop MCP (Model Context Protocol) servers and integrations

Build agentic AI workflows for GitHub Copilot, Cursor, Devin AI

Create VS Code extensions for AI coding assistants

Master prompt engineering & context optimization

Rapidly research and ship AI developer productivity solutions

Job Title: React Native Engineer

Location: Newark, NJ (Hybrid)

Duration: 6+ Months

• 
  
• Work collaboratively with Brand, Design/Creative, Product, Accessibility, User Research, Analytics and Technology SMEs.
  
• Create and maintain mobile branding, themes, components, modules, patterns and templates as reusable libraries, test automations and documentation.
  
• Adhere to clients Brand, Design, Engineering and Accessibility guidelines and standards.
  
• Provide leadership on implementing and improving mobile platform coding standards, tools and workflow.
  
• Prioritize and orchestrate the work of others.
  
• Consult closely with Product teams who develop full mobile native applications.
  

What You'll Need:

• 
  
• Must have experience in an agency environment or regulated industry (financial services preferred).
  
• Must possess at least 5 years of iOS and Android development experience. Use of React Native is mandatory; occasional lower-level Swift/Gradle interoperability is a plus.
  
• Must have experience coding, publishing and maintaining mobile libraries over several major versions.
  
• Have solid experience coding and supporting automated tests against UI libraries (Vitest/Jest preferred) and high-value journey flows (Appium or equivalent).
  
• Must have experience crafting accessible experiences including interactions with assistive technologies.
  
• Must have experience with Figma, possess strong design-thinking and be comfortable working in a design-led product development environment.
  
• Additional pluses include the use of Storybook, Figma Code Connect, BrowserStack/Saucelabs for visual and automated QA, mainstream AI agents, and Github Actions (or equivalent).
  
• Have experience mentoring junior associates and facilitating a "we win together" ethos.
  

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

The team's work encompasses the entire lifecycle of software artifacts, from inception to archival. Work and Code Management systems - Jira serves as the single source of truth for all work items, features, and defects. This planning layer is integrated with GitHub, which manages the source code and version control, to establish a clear, auditable trail from requirement to code.

In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:

• Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions

• Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence

• Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value

• Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks

• Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment

• At least 3 years of experience working in Product Management

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

• Experience translating business strategy and analysis into consumer facing digital products

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.

McLean, VA: $164,800 - $188,100 for Manager, Product Management

New York, NY: $179,700 - $205,100 for Manager, Product Management

Plano, TX: $149,800 - $171,000 for Manager, Product Management

Richmond, VA: $149,800 - $171,000 for Manager, Product Management

San Francisco, CA: $179,700 - $205,100 for Manager, Product Management

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 4901-4920; 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 1-8 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).

Title: Senior React JS Developer

Type: Full Time

Location: Irving, TX OR Tampa, FL or Jersey City,NJ or Rutherford,NJ

Roles and Responsibilities:

• Lead front-end development efforts using React to build responsive and dynamic user interfaces.
• Lead front-end architectural decisions and enforce best practices across projects.
• Implement responsive UI designs with expertise in modern CSS, optimizing applications for maximum speed and scalability.
• Mentor junior and mid-level developers and conduct advanced code reviews to maintain and elevate code quality standards.
• Drive the adoption of new technologies and best practices within the team.
• Expert-level proficiency in React, including advanced patterns, performance optimization, and best practices.
• Deep expertise in various state management patterns and libraries, with the ability to choose and implement optimal solutions for complex applications.
• Expert knowledge of advanced CSS techniques, performance-oriented styling, and experience in building and maintaining design systems.
• Extensive experience managing front-end workflows using Node.js, npm/Yarn, and advanced build configurations; ability to optimize build processes.
• Expertise in designing and implementing comprehensive testing strategies, including unit, integration, and E2E tests, using tools like Jest, React Testing Library, Cypress, Playwright.
• Expert in Git and GitHub for complex projects, including advanced branching, release management, and code review processes.
• Prior experience or deep understanding of Micro Frontends architecture and implementation strategies.

Senior/Staff Site Reliability Engineer

Location: Fremont Area (hybrid)

Type: Full-time

Reports To: Head of Software

About the Company:

Work with a venture-funded startup led by experienced entrepreneurs with a track record of building successful healthcare technology companies. Our mission is to transform healthcare delivery through Physical AI-combining advanced AI intelligence with next-generation robotics.

What Sets Us Apart:

• Proven Leadership: Founded by serial entrepreneurs with previous 9-figure exits.
• Strong Funding: Well-capitalized with backing from top-tier investors.
• Clear Market Need: Tackling validated, high-impact problems in healthcare delivery.
• Technical Moat: Building proprietary technology that is extremely difficult to replicate.
• Stealth Advantage: Perfecting our technology in stealth mode before broader market entry.

This is a foundational hire. You own the infrastructure that a pharmacy robot fleet runs on — and you set the standard for how infrastructure is built. Engineers write application code; you make sure it deploys reliably, scales correctly, stays secure, and is observable in production.

You don't write dispense logic. You own the platform it runs on: Terraform, CI/CD, deployment automation, security scanning, observability, certificate management, and the production environment that must pass a mandated penetration test. You write code to solve infrastructure problems, not just configure tools.

• 3+ years Terraform / IaC — Production modules, state management, multi- environment promotion.
• AWS deep — VPC, ECS, RDS, IAM, KMS, SQS, CloudWatch. You understand the security model.
• CI/CD — GitHub Actions or equivalent. Pipeline-as-code, caching, deployment gates.
• Docker — Multi-stage builds, image optimization, production deployment.
• Linux — System administration, troubleshooting, performance analysis

You must be a US citizen or Green card holder to be applicable for this role.

If interested please reach out to to .

Position Summary

Our client is building a modern, cloud-native platform that powers connected, data-driven manufacturing operations. Their technology sits at the center of increasingly automated factories, integrating equipment, software systems, and real-time production data into a scalable SaaS platform used by global manufacturers.

To support rapid growth and platform scale, they are seeking a Senior Cloud Operations Engineer to own the reliability, performance, and operational excellence of their cloud infrastructure. This is a highly impactful role responsible for ensuring the platform remains highly available, secure, and scalable as adoption continues to grow.

This position is ideal for engineers who thrive in modern cloud environments, enjoy solving complex reliability challenges, and prefer automating everything possible. The right person will combine deep technical expertise with strong operational discipline, helping build a world-class cloud platform supporting real industrial environments.

Key Responsibilities

Cloud Operations & Reliability

• Maintain and optimize production, staging, and development environments running in Kubernetes on AWS

• Implement and manage monitoring, logging, alerting, and observability frameworks

• Lead incident response efforts and drive post-incident reviews focused on continuous improvement

• Own backup, disaster recovery, and business continuity processes

• Perform system capacity planning and performance tuning

Automation & Infrastructure Management

• Build and maintain Infrastructure-as-Code using tools such as Terraform or Pulumi

• Automate provisioning, configuration management, and environment lifecycle processes

• Identify and eliminate operational inefficiencies through automation

• Manage secrets, environment configuration, and version control across infrastructure environments

Security & Compliance

• Implement and maintain least-privilege access models and cloud security guardrails

• Support vulnerability management, patching workflows, and dependency maintenance

• Assist with compliance readiness efforts including SOC 2, ISO 27001, or similar frameworks

• Ensure proper logging, retention, and audit practices across cloud environments

FinOps / Cost Optimization

• Monitor and optimize cloud spend across services and environments

• Implement tagging standards, budget alerts, and cost visibility frameworks

• Recommend architectural improvements to balance performance and cost efficiency

Collaboration & Leadership

• Partner closely with engineering teams to improve reliability, deployment pipelines, and system architecture

• Mentor engineers on operational best practices and cloud platform management

• Develop runbooks, documentation, and operational standards

• Champion reliability engineering principles, operational maturity, and risk reduction practices

Technical Environment

Candidates should be comfortable working in modern cloud-native environments and familiar with:

• Kubernetes clusters, autoscaling, Helm charts, and service mesh concepts

• AWS cloud services including compute, networking, storage, and cost management

• Infrastructure-as-Code frameworks such as Terraform

• Observability platforms such as Datadog, CloudWatch, Prometheus, or New Relic

• CI/CD tools such as GitHub Actions, Bitbucket Pipelines, or Bamboo

• Linux systems administration and troubleshooting

• SRE practices including SLIs, SLOs, MTTR, RTO/RPO, and incident management

Role: Chatbot & Voice-to-Text Developer (.NET / Azure)

Location: Sacramento, CA - Remote

Job Description:

• Strong experience with .NET Core, C#
• Hands-on experience with Chatbot development (Dialogflow or similar)
• Experience integrating Speech-to-Text / Text-to-Speech APIs
• Strong experience with REST APIs / Microservices
• Experience with Azure (App Services, Azure Functions)
• Proficiency in JavaScript / TypeScript
• Experience with SQL or NoSQL (MongoDB/Cosmos DB)
• Hands-on experience with Git/GitHub and API testing tools (Postman)