Engineering Structures Jobs No Experience Jobs in Berkeley, CA

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:

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• 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:

About the Company

Pegasus Solar is the fastest-growing provider of proprietary solar mounting hardware and project design software in the U.S. In 2025, we’ll manufacture and ship more than 13 million parts — with a Pegasus system installed once per minute. We’re a tight-knit, high-impact team driven to accelerate the widespread adoption of solar by making it simpler, faster, and better. Founded in 2012, Pegasus partners with installers to design and engineer products that improve installation efficiency and long-term reliability. With 130+ patents issued/pending and installations on over 350,000 buildings, Pegasus continues to set the standard for innovation and reliability in solar. Our mission is to give installers a better day on the job — and system owners a better product for life. If you’re passionate about clean energy, innovation, and hands-on manufacturing impact, this is where you’ll make a difference.

About the Role

We are seeking a Manufacturing Engineer to join our Manufacturing Operations team, based in Richmond, California. This role is ideal for a developing, hands-on manufacturing engineer who enjoys working directly in production environments and supplier facilities. Unlike a purely internal manufacturing role, this engineer will serve as the “eyes and ears” of the Manufacturing Operations team, spending significant time in the field supporting suppliers, qualifying tooling and production lines, auditing manufacturing processes, and ensuring quality and operational readiness across our supply base. The ideal candidate will bring experience in one or more core manufacturing processes such as metal stamping, machining, sheet metal fabrication, casting, extrusion, or cold heading, with strong preference for metal stamping in high-volume production environments. This role requires adaptability, strong documentation and communication skills, and the ability to operate effectively in smaller, fast-moving manufacturing environments with limited structure or support. This position is hybrid and best suited for candidates local to the Bay Area, with frequent travel (approximately 30–40%) to supplier and manufacturing sites.

Responsibilities

• Supplier Industrialization & Manufacturing Support
• Support qualification and ramp of supplier production lines, tooling, and manufacturing processes
• Conduct supplier audits, process validations, and manufacturing inspections
• Partner with suppliers to resolve technical and quality issues and improve production stability
• Support PPAP, line validation, and tooling readiness across the supply base
• Serve as a key field liaison between Pegasus engineering, manufacturing, and supplier partners
• Manufacturing Process & Production Support
• Apply hands-on manufacturing knowledge across processes such as stamping, machining, casting, extrusion, or cold heading
• Assist with process development, documentation, and continuous improvement initiatives
• Identify and troubleshoot production and quality issues at supplier and manufacturing sites
• Support creation of SOPs, work instructions, and manufacturing documentation
• Ensure adherence to quality standards and manufacturing best practices
• Cross-Functional & Quality Systems Engagement
• Work closely with Manufacturing Operations, Quality, and Engineering teams to ensure production readiness
• Support implementation and maintenance of quality systems and structured manufacturing processes
• Provide clear documentation, reporting, and communication from field activities
• Contribute to operational improvements across the manufacturing and supplier ecosystem

Qualifications

• Education: Bachelor’s degree in Mechanical, Manufacturing, or Industrial Engineering, or equivalent hands-on manufacturing experience
• Experience: 3–5 years of manufacturing engineering, production, or supplier industrialization experience
• Experience in at least one core manufacturing process (metal stamping strongly preferred; machining, sheet metal, casting, extrusion, or cold heading also valued)
• Experience working in smaller manufacturing environments (family-run, startup, or sub-50 employee facilities preferred)
• Experience supporting tooling, PPAP, supplier qualification, or production line validation
• Experience with quality systems required

Required Skills

• Hands-on understanding of manufacturing and production processes
• Ability to operate effectively in fast-moving, less structured manufacturing environments
• Strong documentation and communication skills (written and verbal)
• Experience creating SOPs, conducting inspections, and auditing manufacturing facilities
• Problem-solving mindset with strong technical curiosity
• Ability to work cross-functionally and independently in the field
• Comfortable spending significant time on manufacturing floors and supplier sites
• Travel readiness: Willingness to travel approximately 30–40%

Equal Opportunity Statement

Pegasus Solar is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

POSITION OVERVIEW

The Glazing Engineer is responsible for the completion of high quality façade, curtain wall and glazing system projects on time, within budget and within scope. This role will oversee all aspects of a project from start to finish by coordinating efforts involving the internal team, subcontractors, vendors, and owners/developers. The ideal candidate will have outstanding interpersonal skills, adjusting to changing priorities from various directives, and communicate effectively.

RESPONSIBILITIES

• Oversees the design development and coordination of custom curtain wall and glazing systems, translating architectural intent into engineered, buildable, and fully coordinated façade solutions. Capable of leading multiple projects and supervising engineers.
• Know and comply with all federal, state, local building codes, ordinances and regulations, maintaining the highest standards for safety and quality.
• Manage relationships with all internal and external parties in order to determine specifications of the project, resolve conflict, and support success.
• Establish project schedule and delegate project tasks based on staff strengths, skills, and experience.
• Secure and allocate all resources needed for the completion of the project including building permits, licenses, materials, equipment.
• Negotiate, manage and communicate changes to contract scope, schedule and costs.
• Plan and execute inspections, assess design compliance and quality, minimize risk.
• Create and maintain comprehensive project documentation.
• Regularly confer with supervisors to monitor and report on compliance, quality and productivity.
• Be a strong team leader, build synergy within and across the team, and develop individuals.

REQUIREMENTS

• Bachelor’s degree in Construction Management, Civil Engineering, Mechanical Engineering, Architecture or related field.
• Minimum of 3+ years of experience in façade, curtain wall, or glazing system engineering within a design-build or design-assist environment
• Strong understanding of building envelope design, structural behavior, waterproofing, and thermal performance
• Proficient in AutoCAD, Revit, and 3D modeling tools; familiarity with façade testing standards (ASTM, AAMA, NFRC)
• Experience coordinating with architects, structural engineers, and fabricators through design, procurement, and installation
• Skilled in technical documentation, submittal review, and field problem-solving
• Excellent communication and collaboration skills within multidisciplinary project teams
• A valid driver’s license.

This position description is a summary and not a complete representation of the position; the essential functions of the position may change as duties are assigned.

Information for Recruiters and Agencies/Staffing Firms: Build Group does not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website or to any Build Group employee. Build Group will not pay fees to any third-party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered the property of Build Group.

Notice to California Residents/Applicants: In connection with your application, we collect information that identifies, reasonably relates to, or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government-issued identification number(s), email address, mailing address, other contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.

Equal Opportunity Employment: Build Group provides equal employment opportunity to all employees and applicants for employment, free from unlawful discrimination based on race, color, religion, gender, age, national origin, disability, veteran status, marital status, sexual orientation, gender identity, genetic information or any other status or condition protected by local, state or federal law. This policy applies to all terms and conditions of employment, including hiring, training, orientation, placement, discipline, promotion, transfer, position elimination, rehire, benefits, compensation, retirement and termination. As an equal opportunity employer, Build Group seeks to hire employees based solely on their qualifications and abilities.

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.

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• "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
  

Freelance Sales Director Global Technology Staffing & Remote Workforce

Location: United States

Experience: 8+ Years

People Prime is a global talent solutions company specializing in helping organizations build high-performing technology teams through Remote hiring, Staff augmentation, and Offshore delivery models.

Headquartered in India, People Prime connects companies worldwide with highly skilled technology professionals across emerging and advanced digital domains. We enable organizations to scale faster by providing access to a curated network of experienced engineers, AI specialists, data professionals, and technology consultants who can work remotely or as part of distributed global teams.

People Prime focuses on enabling companies to hire high-quality remote technology talent from India, one of the world’s largest and fastest-growing technology talent markets. Through our strong recruitment ecosystem and technical screening process, we provide organizations with access to professionals across a wide range of digital and enterprise technologies.

1. Artificial Intelligence & Machine Learning: Machine Learning Engineers: Generative AI Engineers: Prompt Engineers: Natural Language Processing (NLP) Specialists: Computer Vision Engineers: AI Model Training & Fine-Tuning Experts
2. Data Engineering & Analytics: Data Engineers, Data Architects: Data Scientists: Big Data Specialists, Data Platform Engineers: Analytics & BI Professionals
3. Cloud & DevOps: Cloud Architects (AWS, Azure, GCP): DevOps Engineers: Platform Engineers, Kubernetes Specialists: Infrastructure Automation Experts
4. Software Engineering: Full Stack Developers: Backend Engineers: Frontend Engineers: Mobile Application Developers: Microservices & API Developers
5. Enterprise Platforms: SAP Consultants: Salesforce Experts: ServiceNow Professionals: ERP & Digital Transformation Specialists

Key Responsibilities:

• Identify and acquire new clients seeking technology staffing or remote engineering teams

• Generate opportunities for contract staffing, staff augmentation, and distributed engineering teams

• Develop relationships with technology companies, startups, and enterprise clients

• Present People Prime’s global talent and offshore delivery capabilities

• Build and manage a strong pipeline of staffing opportunities

• Collaborate with delivery and recruitment teams in India to fulfill client requirements

• Negotiate client contracts, rate cards, and service agreements

• Track hiring trends in AI, data engineering, cloud, and software development

Required Qualifications:

• 8+ years’ experience in IT staffing business development or recruitment sales

• Proven track record of generating staffing opportunities and closing new clients

• Strong network within technology companies, startups, or enterprise organizations

• Experience selling staff augmentation or contract staffing services

• Excellent communication, negotiation, and relationship management skills

Preferred Experience:

• Experience selling offshore technology talent or remote engineering teams

• Exposure to hiring in AI, data engineering, cloud, or software development domains

• Understanding of distributed workforce and remote hiring models

Success Metrics:

Success in this role will be measured by:

• New client acquisitions

• Remote staffing requirements generated

• Revenue from staffing engagements

• Successful onboarding of consultants

• Client retention and satisfaction

Performance expectation:

Minimum 4 Contract placements per month

Compensation:

USD 1500 Payable on Every AI/ Technology Contractor Successful onboarding ( Minimum 5 Onboards Expected Every Month )

6% of gross margin for the first 6 months of each engagement

Why Join People Prime:

• Sell high-demand global technology talent solutions

• Work with a scalable offshore delivery model with great cost advantage to clients

• High earning potential with strong commission structure

• Exposure to fast-growing sectors such as AI, cloud, and data engineering

• Opportunity to build long-term partnerships with global technology companies.

Your responsibilities include:

Provide technical expertise of Sephora Web and Cloud native Supply Chain/WMS and Merchandising systems and associated peripheral integrations, environments and Databases.

Provide the leadership for the Supply Chain Production Engineering team to determine root cause of complex incidents and engineer solutions to provide continuous improvement of Supply Chain Systems reliability.

Develop annual support plans, based upon team learnings and Business/Leadership feedback, to ensure a cost-effective organizational structure that addresses production issues within agreed upon SLAs to resolve software issues.

Ensure all systems are continuously patched & covered under a proper certification, ensures timely resolution of production issues.

Establish metrics from Service Now incidents, generate ageing Reports and review with IT & Biz Leadership, resolve issues within stated SLAs, and improve system stability and reliability.

Provide Technical Co-Ordination, oversight and technical coaching to teams to ensure impactful incidents are analyzed for root cause and effective mitigations are in place.

Take lead in resolving P2/P3 issues of cross functional in Nature, pull teams together and focus in resolving the production issues that are impactful and escalated.

Work with Production Support & Engineering teams and develop enhancements to fix recurring issues in production.

Manage Escalations for Production Issues, bring teams together and work to resolve the issues and own end2end issue resolution & stakeholder communication for escalations.

Provide oversight to ensure adequate staffing coverage both during periods of non-peak and peak season.

Ensure Production Engineering team members employ standard and generally accepted Development practices (ensure code reviews and technical coaching), and consistent methods of troubleshooting, triage, and incident resolution to restore service most quickly and effectively.

Demonstrate our Sephora values of Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative

We’re excited about you if you have:

10+ years of retail and systems Support experience for Logistics, Merchandising, Inventory and Planning Systems in a fast-paced environment.

5+ years of technical expertise in managing full stack web Cloud native applications using various technologies including Angular, REACT, NodeJS, Oracle Database experience is a must.

Demonstrated ability to co-ordinate multiple remote teams and drive resolution.

Demonstrated ability to effectively communicate with Business and all levels of IT and Business management.

Strong Negotiation skills, presentation skills and conflict resolution skills needed.

Prior experience managing or leading Engineering Teams preferred.

Strong knowledge of Supply Chain, WMS & Merchandising Business process flows and integration of those with other systems preferred.

Demonstrated ability to debate ideas, comfortable managing constructive conflict, and not afraid to challenge the status quo.

Open-minded with proven ability to work collaboratively with others in team environment.

Experience with JDA WMS/Blue Yonder systems, o9, Riversand/Syndigo, TMS and Oracle Database is desired.

Bachelor’s degree in engineering, Computer Science or a related field and / or equivalent experience

Nibbi Brothers has been a member of the Bay Area’s construction community since 1950. The Company is known for integrity, innovation, quality and contributions to the communities in which it works. Nibbi’s safety program often exceeds federal and state requirements prioritizing the wellbeing of people. Market sector experience includes multi-family residential, aviation, infrastructure, pre-fab/modular, commercial, seismic retrofits, historic restoration, waterfront structures, and non-profit community facilities. Nibbi self-performs production framing and structural concrete. Our projects range in size from $5 million to over $200 million.

Nibbi provides its people with comprehensive benefits and opportunities for career development. We encourage continuing education at all levels. We are proud of our friendly, family culture that is based on respect, collaboration and a strong work/life balance.

POSITION SUMMARY

The Estimator’s primary responsibility is to analyze and interpret project information in the assembly of budgets, bids, and proposals. Occasional travel is required. This position reports to the Senior Preconstruction Project Manager or the Director of Preconstruction.

ESSENTIAL FUNCTIONS

• Evaluate bid requests.
• Prepare detailed cost estimates.
• Input and adjust quantities with a high level of accuracy.
• Review projectdocuments.
• Manage clientrelationships.
• Promote Nibbi’s standards of quality and safety.
• Represent Nibbi in a professional manner.
• Work collaboratively with project team members.

RESPONSIBILITIES

• Function as a conduit for project stakeholders advancing the project forward during the preconstruction phase.
• Jobsite visits to review existing conditions.
• Establish and maintain positive and effective relationships and communication with clients, construction managers, project teams, consultants, architects, engineers, subcontractors, adjacent communities, trade unions, and government agencies.
• Review all project documents for completeness and accuracy.
• Prepare detailed take-offs and budgets.
• Assemble quantities into project management tools accurately.
• Present budget and value engineering ideas to the owner and design team.
• Attend design development meetings.
• Participate in project team meetings, client meetings, and JSR’s for assigned projects.
• Work with Project Executives to ensure projects move efficiently through Preconstruction.
• Quantify material costs, man-power hourly costs, and subcontractor buy-outs for assigned projects.
• Lead team in the creation of proposals and bids.
• Develop bid documents for each project.
• Prepare detailed bid scopes for trade packages and vet subcontractors to ensure compliance with bid scope.
• Lead pre-bid meetings for assigned projects.
• Manage bid list and coordinate with trade partners.
• Review subcontractor submittals.
• Write and ensure execution of all subcontracts and purchase orders.
• Manage project buy-out and formalize subcontractors.
• Coordinates constructability reviews for its projects with QA/QC Department.
• Work collaboratively with Project Manager, Superintendent, and project team to phase assigned projects.
• Develop initial project schedule and site logistics plan. Update as needed with input from Operations.
• Conduct team meetings, owner/architect meetings, and budget reviews.
• Present job cost, scheduling and budget updates at regular intervals.
• Support career development of Assistant Project Managers and Project Engineers.
• Attend company and industry events, including meetings, classes, workshops, conferences, etc.
• Other related duties as assigned or needed.

QUALIFICATIONS

Degree in Engineering, Architecture, Construction Management or related technical degree, and 2-3 years of estimating experience, preferably with a general contractor. Candidates should have advanced math skills, ability to visualize in 2D and 3D, and an understanding of risk evaluation. Candidates must have a solid understanding of the construction industry, job site safety requirements, contract management, planning and scheduling, budgets, building products and relevant technology. This position requires a high level of fluency reading plans, specifications, and related project documents. Key competencies are initiative, communication, teamwork, dependability, and attention to detail.

Technical Skills: Primavera 6, Destini, Building Connected, MS Office, CCTO, and Procore.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee, with or without reasonable accommodation, to successfully perform the essential functions of this job. While performing the duties of this job the employee may be exposed to conditions that include weather such as heat and/or humidity and cold, fumes or airborne particles, exposure to dust and asphalt, and moving mechanical parts. There may be occasional exposure to toxic or caustic chemicals. Conditions can also include risk of electrical shock and risk of vibration. The noise level in the work environment can often be loud.

An Estimator is regularly required to:

• Work in the office in San Francisco.
• Walk, climb stairs, sit, and stand.
• Talk and hear at normal levels.
• See with close vision, distance vision, color vision, peripheral vision, depth perception, and have the ability to adjust focus.
• Reach with hands and arms.
• Use hands and fingers to operate tools and other business machines.

COMPENSATION & BENEFITS

Comprehensive medical, dental, and vision

Flex plans

Life insurance

Supplemental insurance plans

401K with employer matching

Paid Time Off

Holidays

Incentive compensation bonus

Educational reimbursement

Student loan repayment assistance

Vehicle allowance

Nibbi Brothers is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other personal characteristic protected by law. Employment decisions are made on the basis of qualifications, merit, and business need.

Must be authorized to work in the US now and in the future. Nibbi uses E-Verify.

Contractor’s License #757362

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

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

Final date: Thursday, Mar 4, 2027 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 School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

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. The faculty comprises 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 online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online 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.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

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

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 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
  

Position: Principal AI Engineer

Location: San Francisco CA Hybrid

Contract

Job Summary:

• We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
• The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.

Required Skills & Experience:

• Senior level 12 years of experience building and operating machine learning systems in production.
• Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
• Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
• Ability to lead engineering discussions, guide team members, and provide clear direction.
• Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
• Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.