Codashop, ML Jobs in Usa

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

• 
  
• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

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• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

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• 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).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

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 protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 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.

Education: Bachelor's degree
Licensure:
Experience:
a. up to 3 years acceptable clinical laboratory experience as a certified MLS/MT or equivalent or certification eligible new MLS graduate

Certifications: Current certification as MT/MLS or categorical certification, through ASCP or equivalent
Other:
Preferred Education:
Preferred Licensure:
Preferred Experience:
Preferred Certifications:
Preferred Other:

From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.

Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.

Digital Product Manager – Personalization Intelligence

BJ’s Wholesale Club is seeking a Product Manager – Personalization Intelligence to lead the next evolution of our data-driven personalization strategy. This is a high-impact transformation role responsible for scaling intelligent, model-driven personalization across all member touchpoints — including site, app, email, push, SMS, and emerging channels.

You will define and drive the roadmap that powers how millions of members experience BJ’s — delivering measurable incremental revenue, stronger loyalty, and deeper engagement through advanced personalization capabilities.

This role sits at the intersection of product, data science, engineering, marketing, and digital — translating business strategy into scalable machine learning–powered solutions.

What You’ll Own

Personalization Strategy & Roadmap

• Define and execute the product roadmap for Personalization Intelligence across all customer touchpoints.
• Drive clarity in business goals, measurable outcomes, and prioritization tied to incremental revenue and engagement.
• Lead the transformation from campaign-based targeting to intelligent, model-driven personalization at scale.

ML-Powered Personalization Capabilities

• Partner closely with Data Science to design, build, and scale: Recommendation systems, Propensity and propensity-to-buy models, Predictive engagement and churn models
• Own the end-to-end ML model lifecycle from ideation and business case through training, testing, deployment, and ongoing optimization
• Translate model outputs into actionable, testable personalization strategies.

Experimentation & Measurement

• Define clear hypotheses and testing frameworks to measure incremental lift.
• Collaborate with analytics to establish robust tracking, experimentation design, and performance reporting.
• Monitor and interpret key ML performance metrics and business KPIs.
• Own and deliver the product roadmap for Personalization Intelligence, driving clarity in goal definition, accountability for business outcomes, and focused execution.

Qualifications:

• 4+ years of Product Management experience
• Demonstrated experience delivering personalization, recommendation systems, Propensity/propensity-to-buy models, and other predictive models
• Retail or e-commerce experience strongly preferred
• Strong communication skills and experience working with Stakeholders (data science, engineering, business)
• Strong product discovery, prioritization, and stakeholder management skills

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you'll do:

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• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  
• Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
  
• Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
  

What we're looking for:

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• Strong production Python skills and experience building simulation or modeling systems
  
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  
• Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  
• Clear written communication: you'll be defining new technical directions and need to bring others along
  
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
  
• Nice-to-Haves:
  
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  • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    
  • Reinforcement learning - using simulated environments for policy learning and evaluation
    
  • Experience building agentic AI systems or multi-agent simulations
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

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• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

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• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

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• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

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• Deep hands-on experience in Python for AI/ML development.
  

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• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Open date: February 13, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

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

Final date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.

The School of Information at the University of California, Berkeley invites applications for up to three new full-time Bellwether Postdoctoral Scholars to start as soon as July 2026. The exact start date is negotiable. These positions are available for two years, and are non-renewable. J-1 visa sponsorship is available for this position.

These postdoctoral positions are for academics in the early stages of their career who demonstrate exceptional potential as a scholar and researcher. Applicants should either have completed a doctoral degree, or be able to convincingly demonstrate that they will complete the degree before they intend to start this postdoctoral position (e.g. by documenting a scheduled viva/final defense).

We are seeking applicants with active research plans in any of the following areas:

BPS 1) We seek applicants pursuing a research agenda at the intersection of computer science and applied economics, with interdisciplinary training and interests in both topics. The successful applicant will work on projects that address pressing policy issues, using a mix of quantitative and computational methods (e.g., econometrics, data science, AI/ML). Examples of active projects include, but are not limited to, developing theory and methods for robust and equitable decision making in social settings; the use of machine learning and digital data to guide resource allocation and related policies in low-income countries; and creating and validating new techniques for monitoring living standards and well-being in high-stakes policy environments. This position will be supervised by Joshua Blumenstock.

BPS 2) We seek applicants with interdisciplinary training and interests pursuing a research agenda at the intersection of information science, computational social science, and public-interest research. The successful applicant will work on projects that examine how sociotechnical information systems shape high-stakes decision-making across digital and institutional contexts to address pressing issues in information access, trustworthiness, and credibility, using a mix of computational, quantitative, and qualitative methods (e.g., natural language processing, digital trace data, surveys, and interviews). Examples of active projects include, but are not limited to, studying online communities as informal information infrastructures; analyzing how search engines and digital platforms structure the visibility and credibility of information; developing methods to monitor and contextualize misinformation and uncertainty in sensitive or politicized domains; and advancing conceptual frameworks for understanding information ecosystems as structural determinants of equity, autonomy, and well-being, including but not limited to health-related contexts. This position will be supervised by Coye Cheshire.

BPS 3) We seek applicants with active research plans in climate and sustainability informatics, leveraging information and/or information tools to empower individuals, communities, and organizations in tackling the challenges of climate change and biodiversity conservation. We welcome applicants with strong backgrounds in one or more of the following areas: remote sensing, ML, NLP, HCI, participatory design, design research, biosensory computing. The successful applicant will become a core member of the IceBerk Lab ( ), and be supervised by John Chuang, with possible co-supervision by another IceBerk faculty member where appropriate.

BPS 4) The Cultural Analytics group seeks postdoc applicants to conduct data-driven research across archival heritage and born-digital media. Current projects include, but are not limited to: (i) the study of narrative, belief and resonance, where the goal is to understand how narrative is mutually constitutive of beliefs, and how narrative resonates in and across communities of belief; (ii) extracting narrative elements from literary works, with a strong focus on complex corpora such as the Icelandic sagas to understand composition and social modeling in late medieval fiction; (iii) further developing the approach of archetyptonics along with the SOCKS project at University of Vermont's Complex Systems Center; and (iv) refining a search engine for popular dance, where the search term is the dancer's sequence of poses, here focusing on Kpop dance. Ideal candidates bridge Computational Humanities/Social Science Computing (ML, Networks, and/or Computer Vision) with a qualitative theoretical background. You will be supervised by Tim Tangherlini (with potential I-School co-supervision), and be associated with the Berkeley Institute for Data Science (BIDS) and the AI Futures Lab. We welcome applicants with active research plans ready to contribute to a vibrant, interdisciplinary environment.

BPS 5) The goal of this postdoctoral position is to contribute to the development of an empirically-backed theoretical understanding of how people understand and make sense of the combination of graphic and textual information. We seek a scholar with expertise in some combination of information visualization, the psychology of reading and/or diagram interpretation, and cognitive science or neuroscience more generally to investigate human conception at the intersection of language and information visualization. Expertise in conducting and analyzing eye gaze is a requirement of the position. Expertise or interest in multimodal information, both cognitively and in large vision and language models is a plus. The mentor for this position is Professor Marti Hearst.

BPS 6) Seeking postdoc applicants with a passion for and commitment to equity-driven co-design with local marginalized Indigenous communities. A successful applicant will work on projects that weave together Indigenous knowledge, experiences, and values that address public-facing outcomes, such as informal science education programs and exhibits at local museums and cultural centers. The applicant will help develop theory and methods for world-building equity that integrate marginalized communities' cultural and social struggles. We are seeking applicants with the following attributes: strong background in co-design with marginalized communities, design research, qualitative methods, and experience building mixed reality systems. Knowledge of Indigenous research methods is a plus. This position will be supervised by Kimiko Ryokai.

The Bellwether Postdoctoral Scholar program is designed to allow exceptionally promising young researchers the time to develop their own research while collaborating with leading established faculty. It is designed to accelerate careers, and to maximize the ability of Bellwether Postdoctoral Scholars to build independent research trajectories. To accomplish this, a portion (30-40%) of each post-doc's time will be reserved for their own independent research and publication efforts, including publishing results from their dissertation.

Additionally, all Bellwether Postdoctoral Scholars will work with a mentor or mentors on research projects in the areas listed above (60-70%), all of which are either already active or will be at the time of the start of the post-doc. All have significant publication opportunities planned.

These postdoctoral positions are research-focused and do not include teaching. However, all post-docs will be given opportunities for guest lecturing and will be expected to give public talks about their research. Post-docs will also contribute to planning and hosting public talks for others, and will be expected to be active participants in I School academic events such as research talks.

Each postdoctoral scholar will have access to up to $5,000 annually for research expenses and travel to professional conferences and research opportunities. A laptop computer will also be provided for the duration of the post-doc.

For all of the above positions, we only seek candidates with excellent research and leadership abilities and a commitment to contributing to the UC Berkeley I School and the field of information more broadly while accelerating their career.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. Faculty comprise a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The MIDS program trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. The MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement; and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.

School:

School: about/community

PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.

PhD (or equivalent international degree) required by start date.

No more than three years of postdoctoral research experience.

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

  
  

• Cover Letter - 1-2 pages. Required elements of your cover letter include:

  
  
  

  which position(s) you are applying for (e.g. BPS1 or BPS5);
  
  when you would be available to start your postdoctoral work;
  
  a clear articulation of your fit with the UC Berkeley I School, addressing how your expertise overlaps with, enhances, or expands upon the research area indicated for your position(s) of interest. Please include names of any mentors that you would like to work with beyond the project supervisor.

  
  

• Statement of Research - 2-3 pages. Includes a description of the focus of your planned independent research and publications during the post-doc, what resources would you need to do that work, and an explanation of how the research builds on and goes beyond work you have already done.

  
  

• Writing Sample - Preferably a pre- or post-print of a first-authored publication.

  
  

• 3-5 required (contact information only)

We may contact your references at any stage in the hiring process unless you request otherwise. Please only provide contact information and do not request letters be sent at the time of application. Letters will be solicited for all finalists.

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
  

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

About Us

HireIO is a Silicon Valley–based executive search and HR consulting firm specializing in AI, robotics, semiconductor, and high-growth technology companies.

We partner with top startups, Big Tech companies, and global enterprises to place world-class talent across engineering, product, and leadership roles.

Our clients include fast-scaling, venture-backed companies and industry leaders shaping the future of technology.

About the Role

We are looking for a motivated Junior Technical Recruiter / Associate Consultant to join our growing team.

This role is ideal for someone early in their career who is passionate about technology, people, and business impact.

You will work closely with senior consultants to identify, engage, and manage high-caliber candidates across software engineering, AI/ML, robotics, product, and other technical functions.

This role offers:

• A fast learning curve
• Exposure to top-tier tech companies
• A clear path toward becoming a full-cycle recruiter or client-facing consultant

Key Responsibilities

Talent Sourcing & Research

• Identify and engage top technical talent via LinkedIn, GitHub, professional communities, and internal databases
• Build and maintain talent pipelines for software, AI/ML, robotics, data, and product roles
• Conduct market mapping and competitor research

Candidate Engagement

• Conduct initial outreach and screening calls
• Assess candidate motivation, skills, and cultural fit
• Maintain strong relationships with candidates throughout the hiring process

Process & Coordination

• Support senior consultants in managing interview processes
• Track candidate status and maintain accurate CRM records
• Coordinate interviews, feedback collection, and offer processes

Market Intelligence

• Stay informed on trends in the tech labor market, compensation benchmarks, and hiring patterns
• Share insights with the team to refine search strategies

What We’re Looking For

Must-Have

• Bachelor’s degree or equivalent experience
• Strong communication skills in English (Chinese bilingual is a plus)
• High ownership mindset and strong work ethic
• Strong interest in technology, startups, or recruiting
• Ability to multitask in a fast-paced environment
• Detail-oriented and highly organized

Nice to Have

• Prior experience in recruiting, sales, customer-facing roles, or campus leadership
• Familiarity with LinkedIn Recruiter, ATS systems, or sourcing tools
• Basic understanding of software engineering or AI/ML concepts
• Experience working in a startup or high-growth environment

What You’ll Gain

• Direct exposure to top tech companies and founders
• Training in executive search methodologies
• Rapid career growth into full-cycle recruiting or business development roles
• Competitive base salary + performance-based bonus
• Collaborative, high-performance team environment

Why Join HireIO

• Work on cutting-edge roles in AI, robotics, and emerging technologies
• Visa sponsorship available for qualified candidates
• Structured training & mentorship from senior consultants
• Health benefits (Medical, Dental, Vision)
• 401(k) plan
• Paid time off & company holidays
• Opportunity to build a powerful network in Silicon Valley

• Performs tasks, duties and/or complex tests in all areas of the laboratory assigned according to established laboratory protocols and procedures to ensure compliance with applicable federal, state, and local regulations, COLA accreditation requirements and hospital standards.
• Collects and processes specimens utilizing protocols and technical knowledge.
• Performs quality control, preventive maintenance, troubleshooting protocols to ensure proper functioning of instruments, reagents, procedures.
• Validates and delivers results of tests performed and assists with all technical troubleshooting and quality assurance issues.
• Follows established safety practices including biohazards, exposure control plan (blood-borne pathogens), infection control to include standard precautions, employee right to know (hazardous chemicals), and chemical hygiene standard and maintains required documentation for compliance with federal, state, and local, regulations.
• Assist with performing proficiency testing for each test to include corrective action when necessary.
• Develop and foster collaboration among clinical departments and affiliated services to ensure an integrated and coordinated approach to providing laboratory services and resolution of customer complaints or problems.
• Coordinate and perform all pre-analytic, analytic, and post-analytic laboratory activities in collaboration with the Laboratory Director and Technical Consultant
• Assist with patient care and other activities within the scope of state license and/or regulations. May include, but not limited to, phlebotomy, IV starts, initiating EKGs, vital signs, height and weight, intake and output, pulse oximetry and superficial wound care.
• Provide for patient safety related to age and condition
• Maintain patient privacy and confidentiality of information and records at all times
• Provide and maintain a clean, safe environment and perform and/or assist others to perform proper aseptic technique, isolation procedures, and infection control measures
• Assist with the admission, transfer, and discharge of the patient

• Prepare patients and chaperone during examinations/procedures or assists with other patient treatments
• Maintain lab and all patient care areas with appropriate supplies
• Assist with patient restraints and maintain precautions; collect, report and document data related to patient needs/emergencies and unusual patient and family behavior
• Travel to all facility locations as required
• Attend staff meetings or other company sponsored or mandated meetings as required
• Perform additional duties as assigned

• Bachelor's degree in Biological/Physical Sciences or Medical Laboratory Science, required
• Current BLS certification through the American Heart Association or American Red Cross, required
• Market-Specific qualifications:
  • Pennsylvania Market
    • Minimum of 6 years core lab experience, required (Years of experience begin with Medical Laboratory Courses)
    • Act 33 (Child Abuse History Clearance), & Act 73 (FBI Fingerprint Criminal History Clearance) completed within the last 5 years, or must be obtained prior to start date.
  • Las Vegas Market
    • Certification as a Medical Laboratory Scientist/Technologist (MLS/MLT) by the American Society of Clinical Pathology (ASCP), or American Medical Technology (AMT)
    • Valid State of Nevada license Laboratory General Supervisor, or ability to obtain General Supervisor license within 6 months of hire
    • Minimum of 3 years lab experience in the non-waived specialties of a clinical laboratory; 2 of these years must be in a licensed laboratory or a laboratory of a hospital, university or health department and be under the supervision of a director who possesses a doctoral degree (Las Vegas Market)
• Experience with IV start, phlebotomy and initiation of EKG a plus (experience is not required); training is provided and required after hire.

• Performs tasks, duties and/or complex tests in all areas of the laboratory assigned according to established laboratory protocols and procedures to ensure compliance with applicable federal, state, and local regulations, COLA accreditation requirements and hospital standards.
• Collects and processes specimens utilizing protocols and technical knowledge.
• Performs quality control, preventive maintenance, troubleshooting protocols to ensure proper functioning of instruments, reagents, procedures.
• Validates and delivers results of tests performed and assists with all technical troubleshooting and quality assurance issues.
• Follows established safety practices including biohazards, exposure control plan (blood-borne pathogens), infection control to include standard precautions, employee right to know (hazardous chemicals), and chemical hygiene standard and maintains required documentation for compliance with federal, state, and local, regulations.
• Assist with performing proficiency testing for each test to include corrective action when necessary.
• Develop and foster collaboration among clinical departments and affiliated services to ensure an integrated and coordinated approach to providing laboratory services and resolution of customer complaints or problems.
• Coordinate and perform all pre-analytic, analytic, and post-analytic laboratory activities in collaboration with the Laboratory Director and Technical Consultant
• Assist with patient care and other activities within the scope of state license and/or regulations. May include, but not limited to, phlebotomy, IV starts, initiating EKGs, vital signs, height and weight, intake and output, pulse oximetry and superficial wound care.
• Provide for patient safety related to age and condition
• Maintain patient privacy and confidentiality of information and records at all times
• Provide and maintain a clean, safe environment and perform and/or assist others to perform proper aseptic technique, isolation procedures, and infection control measures
• Assist with the admission, transfer, and discharge of the patient

• Prepare patients and chaperone during examinations/procedures or assists with other patient treatments
• Maintain lab and all patient care areas with appropriate supplies
• Assist with patient restraints and maintain precautions; collect, report and document data related to patient needs/emergencies and unusual patient and family behavior
• Travel to all facility locations as required
• Attend staff meetings or other company sponsored or mandated meetings as required
• Perform additional duties as assigned

• Bachelor's degree in Biological/Physical Sciences or Medical Laboratory Science, required
• Current BLS certification through the American Heart Association or American Red Cross, required
• Market-Specific qualifications:
  • Pennsylvania Market
    • Minimum of 6 years core lab experience, required (Years of experience begin with Medical Laboratory Courses)
    • Act 33 (Child Abuse History Clearance), & Act 73 (FBI Fingerprint Criminal History Clearance) completed within the last 5 years, or must be obtained prior to start date.
  • Las Vegas Market
    • Certification as a Medical Laboratory Scientist/Technologist (MLS/MLT) by the American Society of Clinical Pathology (ASCP), or American Medical Technology (AMT)
    • Valid State of Nevada license Laboratory General Supervisor, or ability to obtain General Supervisor license within 6 months of hire
    • Minimum of 3 years lab experience in the non-waived specialties of a clinical laboratory; 2 of these years must be in a licensed laboratory or a laboratory of a hospital, university or health department and be under the supervision of a director who possesses a doctoral degree (Las Vegas Market)
• Experience with IV start, phlebotomy and initiation of EKG a plus (experience is not required); training is provided and required after hire.

• Performs tasks, duties and/or complex tests in all areas of the laboratory assigned according to established laboratory protocols and procedures to ensure compliance with applicable federal, state, and local regulations, COLA accreditation requirements and hospital standards.
• Collects and processes specimens utilizing protocols and technical knowledge.
• Performs quality control, preventive maintenance, troubleshooting protocols to ensure proper functioning of instruments, reagents, procedures.
• Validates and delivers results of tests performed and assists with all technical troubleshooting and quality assurance issues.
• Follows established safety practices including biohazards, exposure control plan (blood-borne pathogens), infection control to include standard precautions, employee right to know (hazardous chemicals), and chemical hygiene standard and maintains required documentation for compliance with federal, state, and local, regulations.
• Assist with performing proficiency testing for each test to include corrective action when necessary.
• Develop and foster collaboration among clinical departments and affiliated services to ensure an integrated and coordinated approach to providing laboratory services and resolution of customer complaints or problems.
• Coordinate and perform all pre-analytic, analytic, and post-analytic laboratory activities in collaboration with the Laboratory Director and Technical Consultant
• Assist with patient care and other activities within the scope of state license and/or regulations. May include, but not limited to, phlebotomy, IV starts, initiating EKGs, vital signs, height and weight, intake and output, pulse oximetry and superficial wound care.
• Provide for patient safety related to age and condition
• Maintain patient privacy and confidentiality of information and records at all times
• Provide and maintain a clean, safe environment and perform and/or assist others to perform proper aseptic technique, isolation procedures, and infection control measures
• Assist with the admission, transfer, and discharge of the patient

• Prepare patients and chaperone during examinations/procedures or assists with other patient treatments
• Maintain lab and all patient care areas with appropriate supplies
• Assist with patient restraints and maintain precautions; collect, report and document data related to patient needs/emergencies and unusual patient and family behavior
• Travel to all facility locations as required
• Attend staff meetings or other company sponsored or mandated meetings as required
• Perform additional duties as assigned

• Bachelor's degree in Biological/Physical Sciences or Medical Laboratory Science, required
• Current BLS certification through the American Heart Association or American Red Cross, required
• Market-Specific qualifications:
  • Pennsylvania Market
    • Minimum of 6 years core lab experience, required (Years of experience begin with Medical Laboratory Courses)
    • Act 33 (Child Abuse History Clearance), & Act 73 (FBI Fingerprint Criminal History Clearance) completed within the last 5 years, or must be obtained prior to start date.
  • Las Vegas Market
    • Certification as a Medical Laboratory Scientist/Technologist (MLS/MLT) by the American Society of Clinical Pathology (ASCP), or American Medical Technology (AMT)
    • Valid State of Nevada license Laboratory General Supervisor, or ability to obtain General Supervisor license within 6 months of hire
    • Minimum of 3 years lab experience in the non-waived specialties of a clinical laboratory; 2 of these years must be in a licensed laboratory or a laboratory of a hospital, university or health department and be under the supervision of a director who possesses a doctoral degree (Las Vegas Market)
• Experience with IV start, phlebotomy and initiation of EKG a plus (experience is not required); training is provided and required after hire.