Jobs in Palomar Park, 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.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

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

#LI-HYBRID

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 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.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

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

#LI-SA1

#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 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.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

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

#LI-HYBRID

#LI-SM4

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:

• 
  
• The Associate Director, Evidence Generation Compliance is responsible for ensuring that all evidence generating activities (e.g., observational research, clinical outcomes studies, RWE initiatives, investigator sponsored research, and collaborative research programs) are executed in accordance with internal policies, regulatory requirements, and industry best practices. This role safeguards audit readiness, strengthens governance, and drives consistency and rigor in processes and documentation across the Evidence Generation function.
  
• The ideal candidate is a detail oriented compliance leader experienced in medical affairs operations, governance, and documentation management, with the ability to collaborate across cross functional teams and influence best practices globally.
  

• 
  
• Ensure all Evidence Generation documentation is consistently audit ready, complete, current, and compliant with internal standards and external regulatory expectations.
  
• Conduct periodic quality checks and systems-of-record reviews across programs and studies to proactively identify gaps and areas for improvement.
  
• Partner with functional leads and study owners to support robust, accurate, and timely documentation practices.
  

• 
  
• Reinforce adherence to Standard Operating Procedures (SOPs), Work Instructions, and controlled documents across Evidence Generation and Medical Affairs.
  
• Lead the update, revision, and creation of SOPs as needed, ensuring alignment with evolving regulatory guidelines and industry best practices.
  
• Develop and deliver targeted training programs to strengthen compliance awareness and procedural consistency across teams.
  

• 
  
• Manage and continuously improve Evidence Generation governance documentation, ensuring version control, accessibility, and alignment with organizational quality frameworks.
  
• Support governance body operations (e.g., review committees, oversight boards) by preparing materials, maintaining records, and ensuring compliant decision making processes.
  
• Ensure all proposals, concepts, and new study requests are reviewed by the appropriate governance body in a timely and compliant manner, including triage of submissions, coordination of review schedules, and communication of outcomes to stakeholders.
  
• Implement and monitor compliance KPIs, metrics, and dashboards to ensure ongoing transparency and operational excellence.
  

• 
  
• Partner with Legal, Compliance, Regulatory, and Quality Assurance to ensure holistic alignment and timely issue resolution.
  
• Provide compliance guidance during planning and execution of evidence generation activities, including protocol development, contracting, data sharing, authorship, and publication processes.
  

• 
  
• Identify opportunities to streamline workflows, reduce procedural burden, and enhance operational efficiency while maintaining compliance rigor.
  
• Support change management efforts, including communication planning and stakeholder alignment, for new or updated processes.
  

Do you want to become a surrogate? We are now offering a sign on bonus to all qualified and matched surrogates that sign contracts. The first step is to fill out our surrogate application. A fertility specialist will contact you to continue the process. For intended parents interested in surrogacy to start or grow their families please contact us today. The surrogacy process is complex, but we will be with you every step of the way. Call today to get started.

Women who may have the ability to produce eggs but are unable to use their uterus or do not have a uterus, may consider a surrogate. A donated egg may also be used with the surrogate in the event a woman cannot produce her own eggs or her uterus is not intact or insufficient to carry a pregnancy. In either case, the husband's sperm, if viable, may be used.

Using an egg donor unrelated to the surrogate carrier eliminates any biological tie. The egg of the surrogate is never used as part of the assisted reproduction process, so that a surrogate is never in the position of delivering her own biological child.

The basic requirements of a woman to serve as a surrogate are:

• Emotionally stable
• Responsible
• In good physical health
• Non-smoker
• Has had at least one successful pregnancy
• Is capable of carrying a child to full term

A woman is not required to fall within a particular age range to serve as a surrogate, but most intended parents prefer a surrogate under the age of 40. For more information on surrogacy please see the documents on the left side of this page.

In Texas, there is a judicial process for validating the Gestational Contract (the contract between the intended parents and the surrogate). Included within the various requirements for having a Gestational Contract validated by a Texas court is that the intended parents must be married and the surrogate must have previously carried a child to term. Additionally, there are residency requirements that apply to either the surrogate or the intended parents, but not both.

Compensation for a surrogate services generally starts in the range of $35,000 - $40,000, for base compensation with over all fees up to 70k, in many cases. The amount of compensation is dependent upon a variety of factors, including, but not limited to, whether the surrogate carries twins, what procedures a surrogate is required to undergo and whether the delivery is vaginally or by cesarean section.

An elite US law firm is seeking a high-performing Technology Transactions Associate to join its small, collegial, and tight-knit team in Palo Alto (Los Angeles applicants will also be considered). This opportunity offers exposure to sophisticated technology and software transactions, working closely with highly regarded partners and a premium client base in the tech and growth company sectors.

The group is widely recognized for advising emerging and growth-stage technology companies, venture-backed startups, and leading venture capital firms, including clients in gaming, social media, and AI, on corporate transactions, financings, and commercial agreements.

You will:

• Advise on corporate and technology transactions for clients across software, AI, gaming, and social media industries
• Draft, negotiate, and review commercial agreements, licensing arrangements, and technology contracts
• Work directly with partners and key clients in high-growth and venture-backed companies

The ideal candidate will have:

• California Bar admission
• 3+ years of experience in corporate/technology transactions
• Experience working with technology or software clients, including in-house exposure (a bonus)
• Strong academic credentials and attention to detail
• Interest in working in a small, collegial team environment

Compensation & Benefits

• Competitive market-aligned salary and bonuses
• Full benefits package

For a confidential discussion and further details, please contact Carla Luna directly at .

About Sonder Consultants:

Sonder Consultants is a global legal search firm specialising in associate and partner placements at the world’s leading law firms. With offices in London, New York, Sydney, Hong Kong, and Los Angeles, we provide strategic career advice and access to opportunities often not publicly advertised.

A leading international law firm with a top-tier Technology Transactions practice is seeking a mid-level associate for its premier team in Palo Alto.

The group advises many of the most innovative technology companies and market-leading enterprises on complex commercial transactions involving cutting-edge technologies.

Representative work includes:

• AI counseling and deployment arrangements
• Software, SaaS, and content licensing agreements
• Cloud hosting and application hosting transactions
• IP development, joint development, and technology transfer agreements
• Strategic partnering and distribution arrangements
• Transactional privacy, regulatory, and emerging AI compliance counseling

The firm offers top-of-market compensation ($260,000–$365,000), lean deal teams, significant drafting responsibility, and a collaborative, talent-development-focused culture known for practical, business-oriented advice.

Ideal Candidate Profile:

• Class Year 2021–2023
• 3–5 years of technology transactions experience
• Strong drafting and negotiation skills
• Experience with AI, SaaS, cloud, and IP licensing matters preferred
• Excellent academics
• Currently at an AmLaw 50 firm preferred

If this aligns with your background and interests, please feel free to reach out for a confidential conversation.

Analytical Development Research Associate

Position Details:

Location: Redwood City, CA

Type: Contract (person is out on maternity leave)

Start Date: ASAP

$40-48w2 per hour

Our client is a leading protein engineering company applying innovative technologies to unlock the power of proteins. Since 2002, Their scientists and bioinformatics experts have worked collaboratively with our clients to advance protein optimization and production, enabling breakthrough developments for applications across multiple industries!

Client is looking for someone at RAIII or RA IV level, with solid hands-on experience and the ability to step in quickly

About the Opportunity:

The Analytical Development Research Associate will join the Analytical Development group which is part of the TechOps department. Successful candidates will be a part of a dynamic and enthusiastic team dedicated to supporting our product development through analytical development. The individual will be working with a high performing team with day-to-day laboratory workflows and operations to help with analytical method development, validation, and transfer.

If any of the below describes you, we would love to meet you!

• Possess a passion for being part of the therapeutic community helping bring cutting edge treatments to patients in need.
• Enjoys providing analytical support to different functional groups through effective collaboration, contributing to innovative technology development.
• Enjoys problem solving by implementing analytical solutions.

In this role you will be responsible for:

• Establishing and executing scientific experimentation plans for analytical method development with scientists in the analytical development team.
• Perform data processing, evaluation and interpretation of experimental data, drawing conclusions based on the results.
• Perform analytical testing of finished products and development samples.
• Participate in analytical activities including method development, validation, and various analytical studies.
• Present data at team and cross functional level on the current AD ongoings.
• Perform overall lab support functions including routine maintenance of analytical instruments, ordering and maintaining inventory of sample, reagents and lab supplies.

The essential requirements of the job include:

• BS in Analytical Chemistry, Biochemistry or Biology science or relevant scientific field with a minimum of 3 years of relevant industrial/academic experience in a laboratory environment.
• Ability to learn quickly, prioritize responsibilities, multi-task, think critically, and work both independently and within teams in a fast-paced environment.
• Prior working experience with HPLC, UV-Vis, ELISA and CE-SDS.
• Working knowledge and experience with good documentation practices.

Additional experience that would be valuable for this role includes:

· Knowledge of ICH Quality Guidelines related to analytical method development and validation, impurities and stability.

· General knowledge of biochemistry and enzyme science.

· Understanding of systematic study design and conception.

EEO Statement:

Blackstone Talent Group is a division of Blackstone Technology Group, a global IT services and solutions firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone’s global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.

Oracle FDI Developer/Analyst

Contract

Palo Alto, CA (Remote or Hybrid if in SF Bay Area)

This position pays around $60 - $70/hr on W2

Responsibilities:

• Business Discovery & Analysis

-Lead requirements for workshops with FP&A, Accounting & Procurement.

-Translating needs into well-formed user stories, acceptance criteria, and success metrics. Map KPIs/metrics (e.g., revenue, COGS, Opex, cash flow, AP/AR aging, PO cycle times) to source systems and FDI subject areas.

• Data Modeling & Development & Go live (Oracle FDI)

-Design and implement data models, pipelines, and semantic layers within Oracle Finance Data Intelligence (leveraging Oracle subject areas, views, and data products).

-Build/Configure reports, dashboards, and self-service datasets.

-Implement drill paths, prompts/filters, row-level security, and data

entitlements.

-Establish data quality checks & build/maintain documentation

-Conduct UAT and migrate in production environment

• Demos, Enablement & Iteration

-Run demos and showcases with Finance leadership and business stakeholders; collect feedback and iterate fast.

-Create playbooks and training (how-to guides, release notes, KPI definitions) to drive adoption and self-service analytics.

Required Qualifications:

• Hands-on experience implementing and configuring Oracle Financial Data Intelligence (FDI)
• Experience leading requirements gathering sessions with finance stakeholders including FP&A, Accounting, and Procurement
• Strong understanding of financial metrics and KPIs such as revenue, COGS, operating expenses, cash flow, AP/AR aging, and procurement cycle times
• Proven ability to design and build data models, semantic layers, dashboards, and self-service datasets within Oracle FDI
• Experience configuring drill paths, prompts, filters, row-level security, and data entitlements
• Knowledge of Oracle subject areas, views, and data products
• Experience mapping business metrics to source systems and reporting structures
• Ability to establish data quality checks and validation processes
• Experience conducting user acceptance testing and managing production migrations
• Strong documentation skills covering data models, configurations, and processes
• Ability to create training materials, playbooks, and how-to guides for end users
• Excellent communication skills with the ability to present to finance leadership and business stakeholders
• Ability to work autonomously with minimal supervision
• Strong organizational and prioritization skills

Preferred Qualifications:

• Experience with Oracle Cloud Financials (General Ledger, Accounts Payable, Accounts Receivable, Procurement)
• Familiarity with Oracle Analytics Cloud, OTBI, or Oracle Business Intelligence
• Background working directly with FP&A teams on budgeting, forecasting, or financial planning processes
• Experience with data integration tools or Oracle Integration Cloud
• Prior experience in a consulting or systems integrator environment
• Background working in multinational organizations or with global finance teams
• Experience driving self-service analytics adoption across an organization
• Knowledge of Agile methodologies and iterative delivery practices CBAP , PMP , or Oracle certifications

Core Competencies:

• Analytical Thinking: Ability to break down complex business problems, identify root causes, and develop structured solutions
• Technical Aptitude: Comfort working hands-on with data models, configurations, and reporting tools while understanding underlying data structures
• Business Acumen: Strong understanding of finance and accounting processes, terminology, and how data supports decision-making
• Communication: Ability to convey technical concepts to non-technical audiences and translate business needs into technical requirements
• Stakeholder Management: Skill in building relationships, managing expectations, and engaging effectively with finance leadership and cross-functional teams
• Attention to Detail: Commitment to data accuracy, documentation quality, and thorough testing
• Adaptability: Ability to iterate quickly based on feedback and adjust to evolving priorities
• Ownership & Accountability: Self-directed approach with a strong sense of responsibility for outcomes and deliverables
• Enablement Mindset: Focus on empowering end users through training, documentation, and self-service capabilities
• Collaboration: Ability to work effectively with technical and business teams across functions and geographies

Project Engineer – Heavy Civil

San Francisco Bay Area, CA

We’re hiring a Project Engineer on behalf of a leading heavy civil contractor in the Bay Area. This role is ideal for a graduate or early-career engineer (1–5 years’ experience) who wants to gain exposure to all aspects of public works infrastructure and underground utilities.

About the Company

This contractor specializes in public works and underground construction, delivering projects such as:

• Water & sewer transmission pipelines
• Pump stations
• Water & wastewater treatment facilities
• Other underground utility infrastructure for municipalities across the Bay Area

With a reputation for technical excellence and collaborative project delivery, they offer a career path that combines hands-on engineering with leadership development.

Responsibilities

• Assist the Project Manager in delivering projects on time and on budget
• Track progress, update schedules, and prepare project reports
• Review and process submittals, shop drawings, and RFIs
• Perform geotechnical reviews and analysis (trench stability, shoring, dewatering, etc.) for underground utility work
• Support quality control and testing requirements
• Prepare and track change orders
• Review contract documents and specifications to ensure compliance
• Maintain detailed project documentation
• Order and track project materials, equipment, and supplies
• Coordinate with subcontractors and suppliers to ensure timely delivery
• Interface directly with municipal owners, inspectors, and agencies throughout the Bay Area
• Maintain strong professional relationships with owners, engineers, subcontractors, and field teams
• Resolve conflicts and support effective problem-solving on-site
• Attend progress meetings with municipalities and stakeholders
• Support job site safety programs and ensure OSHA compliance
• Assist with environmental and regulatory requirements related to public works

Qualifications

• Bachelor’s degree in Civil Engineering, Construction Management, or related field
• 1–5 years of relevant experience (internships or full-time) in construction preferred
• Strong understanding of civil principles and interest in underground construction
• Excellent organizational, communication, and problem-solving skills
• Ability to thrive in a public works contracting environment with multiple stakeholders

Compensation & Benefits

• Salary $80,000 - $140,000
• Company vehicle + fuel card
• 401(k) retirement plan
• Health & dental insurance
• Long-term career growth opportunities with a respected Bay Area contractor