Engineering Jobs in Berkeley

Open date: August 20, 2025

Most recent review date: Thursday, Sep 4, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Thursday, Aug 20, 2026 at 11:59pm (Pacific Time)

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

The Department of Nuclear Engineering at the University of California, Berkeley is generating an applicant pool of qualified temporary instructors to teach regular and Summer Session courses, should an opening arise. In addition to classroom/laboratory teaching and preparation, general duties may include (but are not limited to) managing and mentoring graders and/or graduate student instructors (teaching assistants), holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and maintaining a course website.

We are also seeking applicants for hourly Teacher Special Programs (TSP), should an opening arise. The TSP instructor's principal responsibility will be overseeing capstone projects in the Master of Engineering (MEng) program of the Nuclear Engineering Department. This will include the following tasks: Designing and proposing capstone projects. Helping match students into suitable projects. Meeting with each capstone project team on a regular basis to review results, manage interpersonal aspects, and maintain efficient progress. Provide critical, constructive feedback on students' written reports and oral presentations. Coordinating and participating in the MS Plan II exam of each student at the end of the capstone project period.

Department:

Master's degree or equivalent international degree at the time of application.

For Lecturers: Five years of experience in industry or a

research institute, or a Ph.D. or equivalent international degree by the start of the appointment.

For TSPs: Two years of experience in industry or a research

institute, or a Ph.D. or equivalent international degree by the start of the appointment.

Lecturer Positions:

Demonstrated excellence in teaching

Experience teaching college-level courses

A higher-level degree and/or prior teaching experience is preferred in one of the following specializations.

Specializations include, but are not limited to:

Nuclear Engineering

Nuclear Physics, Nuclear Reactions, Nuclear Detection

Radioactive Waste Management

Nuclear Fuel Cycle

Radiation Biological Effects, Dosimetry, Radiation Protection

Radiation Transport, Reactor Physics

Engineering Thermodynamics

TSP Positions: Mentoring experience in one or more of the related engineering fields/specializations or comparable experience/training.

Nuclear

Mechanical

Chemistry

Physics, etc.

Experience in supervising teams of researchers at the graduate level and experience working in industry and/or a research institute.

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

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• Statement of Teaching - Summary of Teaching experience/philosophy for lecturer positions or Mentoring/teaching statement for TSP positions.

  
  

• 2 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
  

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.

We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization.As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services.

What you'll do:

• 
  
• Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact.
  
• Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems.
  
• Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.
  
• Champion Best Practices: Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights
  
• Technical Leadership: Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance
  
• Cross-functional Collaboration: Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability
  
• Innovation: Stay current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront
  

What we're looking for:

• 
  
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  
• Product Mindset: Demonstrated ability to work backwards from customer needs -understanding user needs, prioritizing features, measuring success, and iterating based on feedback. Experience building internal platforms or tools with strong adoption
  
• Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes
  
• Data Engineering Skills: Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing (Kafka, Flink, etc.), and data modeling at scale
  
• Observability Domain Knowledge: Hands-on experience with modern observability tools and practices including metrics, logging, tracing, and profiling. Familiarity with OpenTelemetry, Prometheus, Grafana, or similar technologies
  
• Programming Proficiency: Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production-quality code
  
• Systems Thinking: Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability
  
• Experience building observability platforms from the ground up or significantly scaling existing solutions
  
• Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.)
  
• Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy
  
• Experience with machine learning or anomaly detection applied to observability use cases
  
• Strong communication skills with ability to influence stakeholders at all levels
  
• Contributions to open-source observability projects, a plus
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

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

#LI-REMOTE

#LI-JT1

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:

• 
  
• 4+ 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:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

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.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#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:

Open date: March 5, 2026

Next review date: Saturday, Mar 21, 2026 at 11:59pm (Pacific Time)

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

Final date: Monday, Apr 6, 2026 at 11:59pm (Pacific Time)

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

The Department of Physics at the University of California, Berkeley seeks applications to hire one or more Postdoctoral Scholars to perform research in the area of nuclear and particle physics.

This position will be in the Weak Interaction group in the Physics Department of UC Berkeley. The group focuses on searches for Lepton Number and Lepton Flavor violating processes with the CUORE and CUPID experiments at Gran Sasso, Italy; the MOLLER experiment at Jefferson Laboratory; and the Mu2e experiment at Fermilab.

The successful candidate will conduct research on the analysis of data and simulations of the rare event experiments CUORE, CUPID, and Mu2e; the development of novel analysis and statistical techniques; and the development of novel instrumentation in support of current and future experiments in nuclear and particle physics.

Labor Contract: resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/

Department:

Weak Interaction Group: research-faculty/nuclear-physics

Candidates must have obtained their Ph.D. or equivalent international degree or be in the process of obtaining a Ph.D. or equivalent international degree at the time of application.

* Ph.D. or equivalent international degree by the start date of the job.

* No more than three years of previous postdoctoral experience by the start date.

* Ph.D. in Physics or Nuclear Engineering, with specialization in particle physics, nuclear physics, or instrumentation development.

* Working knowledge of analysis and simulation tools (ROOT, Geant4).

* Theoretical knowledge of neutrino physics and lepton flavor violation.

* Specialized skills in cryogenic detector technology, and computational expertise.

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

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 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
  

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.

The Content Quality Signals team at Pinterest is seeking a Sr Product Manager to define, execute, and champion the multi-year strategy for building advanced borderline content signals. You will lead product innovation at the intersection of machine learning and user experience-developing the core content quality signals that drive personalization, discovery, and business outcomes across Pinterest. Join the team influencing what users see on Pinterest, enabling millions to turn inspiration into action.

What you'll do:

• 
  
• Developing, aligning the organization around, and driving the strategy and roadmap for Borderline Content Signals, ensuring the roadmap is ambitious, principled, and closely aligned with company priorities.
  
• Lead cross-functional development of critical borderline content signals that power personalization, ranking and core user experiences.
  
• Build, launch, and scale signals that make Pinterest safer, relevant, engaging, and valuable for users and advertisers globally. Nurture a culture of transparency, data-driven decision-making, and continuous learning within the team.
  
• Build strong partnerships with engineering, data science, and multiple product groups to translate vision to metrics, OKRs, and product deliverables.
  
• Represent the Content Quality team in org-level forums, proactively communicating progress, strategy, and tradeoffs to senior leadership and partner teams.
  

What we're looking for:

• 
  
• Demonstrated success in product management or related experience at fast-growing companies.
  
• Previous successful experience partnering with machine learning engineering teams.
  
• Experience working with safety, integrity or content quality teams is a plus.
  
• Proven ability to lead in ambiguous environments, aligning across functions, teams, and orgs to deliver on time in a highly collaborative environment.
  
• Strong analytical skills to define product strategy and drive decision making, making appropriate trade-offs based on data analysis and qualitative feedback from Pinners.
  
• Exceptional communicator who builds deep alignment across engineering, product, and business partners-skilled in influencing at all levels and facilitating decision-making across organizations.
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience.
  

Relocation Statement:

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

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE
#LI-REX

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.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

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#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:

Technical Designer, Furniture

SAUSALITO, CA

Serena & Lily is seeking a Technical Furniture Designer to join our Design Team. The ideal candidate will be responsible for the technical development process of all furniture categories. This role involves ensuring that quality, accuracy and on time execution in a cost-effective manner of all furniture projects from concept to production, are met while maintaining brand integrity. This position reports directly to CDO.

RESPONSIBILITIES:

• Translate design direction from CDO into detailed technical specs with accurate renderings to illustrate concept ideals.
• Develop and implement product development strategies aligned with company goals and market trends.
• Identify opportunities for innovation in furniture production, materials, and production processes.

Project Management

• Translate design direction from CDO into detailed technical specs with accurate renderings to illustrate concept ideals.
• Oversee the product development lifecycle, from initial renderings to cads, to sample and swatch reviews.
• Clearly communicate to agents and vendors calls outs and comments in a timely manner.
• Develop new finishes and color panels and ensure consistency through production.
• Ensure projects are delivered on time, within budget, and meet quality standards.
• Own the sharing of information in weekly PD meetings.
• Keep all documents and shared tools current and up to date.
• Maintain and organize swatch libraries.
• Cad all cushions where applicable and all outdoor covers for outdoor collections.
• Confirm PI sheets are accurate.
• Review and comment on furniture renewal swatches in a timely manner.

Quality & Compliance

• Establish and maintain quality assurance protocols throughout the product development process.
• Ensure all products meet regulatory and safety standards for target markets.
• Address and resolve product issues promptly and effectively.

Key Personal Attributes

• Strategic thinking and ability to align product development with business goals.
• Strong problem-solving skills and adaptability in a dynamic environment.
• Attention to detail and commitment to quality.
• Collaborative mindset with the ability to develop strong cross functional and respectful relationships.
• Strong work ethic with an ability to turn on a dime.
• Be part of a small tight knit team with a desire to jump in where needed to assist in department projects.

QUALIFICATIONS:

• Bachelor’s degree in industrial design, Product Development, Engineering, or related field.
• 5+ years of experience in furniture product development.
• Strong knowledge of furniture design, materials, manufacturing processes, and industry standards.
• Proven track record of managing multiple complex product development projects.
• Excellent leadership, communication, and interpersonal skills.
• A high level of proficiency in design software (e.g., AutoCAD, SolidWorks) and project management tools.
• Experience with sustainability practices in furniture design is a plus.

COMPENSATION:

• $100-130k per year is the anticipated starting base pay for this role. This range represents the low and high end of the anticipated base salary range for this role. The actual base pay is dependent upon many factors, such as: experience, education, and skills.
• Employees (and their families) are covered by medical, dental, vision, and basic life insurance should they choose to participate in Serena & Lily’s benefits. Employees can enroll in our company’s 401k plan. During the first year of employment, full-time employees accrue twenty-one days of PTO and seven paid holidays throughout the year.

Sequoia Living – San Francisco High-Rise Community

Sequoia Living is seeking an experienced, mission-driven Director of Environmental Services to lead operations in our high-rise community. This is a highly visible leadership role responsible for creating a safe, clean, efficient, and beautifully maintained environment for the residents who call our community home.

If you are a hands-on, solutions oriented facilities professional who thrives in a dynamic environment and you are passionate about leading teams, elevating service standards, and improving the daily lived experience of residents this is a unique opportunity to make a meaningful impact.

Experience in a CCRC, senior living, healthcare, assisted living, or hospital setting is required.

Why This Role Matters

As the Director of Environmental Services, you are the operational backbone of the community. You ensure residents live in a well-maintained, safe, and welcoming environment while leading a diverse and dedicated team across plant operations, maintenance, housekeeping, laundry, landscaping, safety, and construction oversight. Your work directly impacts resident experience, staff satisfaction, regulatory compliance, and long-term asset preservation.

What You’ll Do (Key Responsibilities)

Leadership & Department Oversight

• Lead all Environmental Services functions, including plant operations, maintenance, housekeeping, laundry, landscaping, and safety programs.
• Recruit, hire, mentor, and develop supervisors and frontline staff; foster a culture aligned with Sequoia Living’s Mission, Vision, Values, and Commitment to Inclusion.
• Manage administrative operations, staff schedules, training, coaching, and performance review processes.

Facility Operations & Maintenance

• Oversee the community’s preventative and corrective maintenance programs, ensuring compliance with all Federal, State, and local regulations (EPA, ADA, OSHA/OSHPD, Titles 8, 19, 22 & 24).
• Review maintenance projects, repairs, and inventory needs; recommend improvement plans to community leadership and the Director of Design & Construction.
• Ensure the community’s safety programs (Fire, Disaster, Emergency Response, Hazardous Materials Plans) are up-to-date and fully implemented.
• Train staff in safe work practices, including asbestos and industrial chemical handling.

Construction, Capital Projects & Renovations

• Manage capital project planning and execution, including apartment renovations, building upgrades, and major infrastructure improvements.
• Maintain computerized capital budget tools, plan expenditures, and ensure timely project completion.
• Solicit and evaluate contractor bids; manage vendor relationships, permits, and certificates of insurance.

Budgeting & Resource Management

• Prepare and manage operating and capital budgets; track expenses and ensure cost control.
• Oversee energy conservation and utility monitoring to optimize efficiency.

Resident & Community Engagement

• Serve as a responsive partner to residents and committees on maintenance needs and special projects.
• Communicate professionally and collaboratively with department heads, staff, vendors, regulatory bodies, and Sequoia Living leadership.

Risk, Safety & Compliance

• Act as the community’s Safety Coordinator: oversee workplace safety programs, ensure incident reporting, support workers’ compensation processes, and lead safety initiatives.
• Identify and report resident concerns related to physical, mental, or emotional well-being.
• Participate in on-call rotation and support emergency response as needed.

What You Bring (Qualifications)

Experience

• 6+ years of hands-on experience in environmental services, facilities management, plant operations, or maintenance preferably in healthcare, senior living, or a residential community.
• 3+ years of supervisory or management experience leading diverse teams.
• Prior experience with building systems (HVAC, boilers, refrigeration, electrical/mechanical systems, automation, and life/safety equipment).
• CCRC or healthcare environment experience strongly preferred.

Education

• High school diploma required; 2+ years of college or trade school coursework in engineering, facilities management, or environmental services preferred.
• Bachelor’s degree in Engineering, Facilities Management, or related field strongly preferred.

Key Knowledge & Skills

• Regulatory & Compliance: Deep understanding of building codes, construction regulations, OSHA/OSHPD, Titles 8, 19, 22 & 24, ADA, and environmental compliance.
• Technical Proficiency: Ability to read blueprints, technical manuals, and schematics; strong understanding of HVAC, plumbing, electrical, carpentry, and mechanical systems.
• Safety & Risk Management: Expertise in workplace safety, hazardous materials handling, emergency response, and risk mitigation.
• Operational Excellence: Skilled in housekeeping, maintenance, landscaping, sanitation, and environmental cleaning standards.
• Project Management: Strong planning, scheduling, and vendor management experience.
• Technology Skills: Proficient with Microsoft Office and capable of learning maintenance, inventory, and HR systems.
• Communication & Leadership: Collaborative, calm under pressure, resident-centered, and able to lead with empathy and professionalism.

Why Work at Sequoia Living?

• A mission-driven organization devoted to enriching the lives of older adults.
• An opportunity to lead a critical operations team in an established and respected nonprofit community.
• A collaborative culture where your expertise directly shapes resident safety, comfort, and quality of life.
• A role with variety, challenge, and the ability to influence long-term building health and operational excellence.

Ready to Make an Impact?

If you are a proactive leader who finds purpose in maintaining exceptional environments, developing strong teams, and ensuring operational excellence we encourage you to apply. Join a community that values integrity, compassion, and innovation.