Structural Engineering Explained Jobs Full Time Jobs in Woodside, CA
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We’re looking for a Physical Therapist to take on a full-time role with one of our area clients. You’ll help patients move better, feel better, and stay active—whether they’re recovering from an injury or managing long-term conditions. Apply today and a recruiter will reach out with the details.
Minimum Requirements:
- Bachelor's, Master's or Doctoral Degree in Physical Therapy from an accredited school approved by the APTA
- Active State License is Required to Start the Position
- BLS Certification May Be Required from AHA or ARC
- Experience in outpatient settings is preferred
Benefits:
All positions offer Progressive Incentive Program Eligibility and Student Loan Repayment Program Eligibility.
Location Highlights:
Palo Alto, CA, offers a vibrant atmosphere with a mix of outdoor and cultural attractions. Enjoy beautiful parks, such as the Baylands Nature Preserve, and explore the local dining scene. The city is known for its proximity to Stanford University, providing a rich cultural experience with various events and activities throughout the year.
EEO Statement
Jackson Healthcare and its family of companies are an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender, gender identity and expression, national origin, age, disability or protected veteran status. We celebrate diversity and are committed to creating an inclusive environment for all of our associates.
At Schweiger Dermatology Group, we offer an opportunity to grow and excel in a supportive and dynamic environment. As the largest and fastest-growing dermatology practice in the Northeast , we have over 450 healthcare providers and 170 offices across New York, New Jersey, Pennsylvania, Connecticut, Florida, Illinois, Missouri, Minnesota, and California . With over 2 million patient visits in 2024 , our commitment to excellence and patient care remains unmatched.
Why Choose Schweiger Dermatology Group?
We are dedicated to providing The Ultimate Patient Experience while ensuring a fulfilling and rewarding career for our providers and staff.
With many company recognitions from Great Place to Work to Inc. 5000’s Fastest Growing Companies we still center ourselves on our outstanding patient satisfaction scores with a Net Promotor Score over 85- an industry record.
The Ultimate Provider Experience
We offer a highly competitive productivity model and an environment designed to help you thrive, not just work :
A Collaborative Provider Community – Work alongside top dermatologists who share knowledge and support your growth
Modern, Efficient Offices – Designed to optimize patient care and provider satisfaction
A Culture of Caring & Compassion – Led by experienced dermatologists who understand your day-to-day experience
Flexibility That Fits Your Life – Multiple locations, scheduling options, and support to help build your practice- even if you have to move down the road. We know many want to work near home.
Advanced Training & Career Development – Access to the latest system technology and education resources
Competitive Compensation & Benefits
~ Guaranteed base salary with a generous signing bonus for multi-year contracts
~ Performance-based incentives for additional earning potential
~ Comprehensive benefits package (available first of the month after hire), including:
~ Medical, Dental, Vision, HSA/FSA with company HSA contribution
~401K eligibility
~ Company-sponsored Short-Term Disability
~100% malpractice coverage
~ Continuing Medical Education (CME) support
~ Relocation assistance for full-time providers
Who We’re Looking For
Schweiger Dermatology Group is seeking board-certified dermatologists to join our growing team.
Responsibilities:
Provide exceptional patient care in medical, cosmetic, and surgical dermatology
Conduct thorough consultations, examinations, and treatments
Maintain detailed patient records and collaborate with a dedicated support team
Qualifications:
Board Eligible or Board-Certified in Dermatology
Active medical license in the state you wish to practice
Strong clinical skills, leadership abilities, and a commitment to patient care
Take the Next Step
Connect with us today to explore career opportunities that prioritize your growth and satisfaction.
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.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
US based applicants only$138,905—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
A fast-growing robotics company is building autonomous systems designed to automate repetitive tasks within the global infrastructure and construction sector. The company’s mission is to help address workforce shortages while accelerating the development of critical infrastructure projects.
Their robotics platforms combine advanced autonomous navigation, cloud software, and intelligent field tools to improve precision and efficiency across construction environments. With a growing fleet of robots already deployed across multiple project sites globally, the company is developing the next generation of automation tools used in areas such as infrastructure development, surveying, energy projects, and large-scale construction.
The company is seeking a Full-stack Developer to design and maintain the software systems that power its robotics ecosystem — including operator dashboards, cloud infrastructure, and applications that interface with robots operating in the field.
This role will contribute to building reliable tools for mission planning, fleet monitoring, and communication between cloud systems and robotic platforms. The position involves close collaboration with robotics engineers, field operations teams, and product stakeholders to ensure the software delivers measurable impact in real-world environments.
Key Responsibilities
- Design and develop full-stack applications for device management, mission control, and fleet coordination.
- Build and maintain mobile applications used by field operators.
- Develop desktop applications used to interface with robotic systems.
- Create web dashboards and APIs for mission planning, telemetry visualization, and operational data analysis.
- Integrate cloud infrastructure for data storage, monitoring, and deployment.
- Ensure reliable communication between cloud services and deployed robotic systems.
- Collaborate with robotics, product, and field teams to deliver integrated software functionality.
- Write technical documentation for APIs, system architecture, and software modules.
- Optimize systems for scalability, reliability, and performance in field environments.
- Requirements
- Education
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Experience
- 4+ years of professional full-stack development experience.
- Strong experience with JavaScript / TypeScript using modern frameworks such as React, Next.js, and Node.js.
- Strong UI/UX development experience using modern CSS frameworks.
- Experience building mobile applications using React Native.
- Experience developing cross-platform desktop applications.
- Production experience with cloud platforms such as AWS including APIs, storage, and deployment pipelines.
- Strong understanding of software architecture, testing methodologies, and performance optimization.
- Proficiency with development tools including Git, issue tracking systems, and CI/CD pipelines.
Soft Skills
- Strong analytical and problem-solving ability.
- Ability to collaborate effectively in a fast-paced engineering environment.
- Strong ownership mindset and communication skills.
- Preferred Qualifications
- Experience working with robotics systems or robotics middleware.
- Familiarity with real-time communication protocols such as WebSockets or MQTT.
- Experience working with IoT devices, connected hardware, or industrial systems.
- Experience working with performance-sensitive or multi-threaded applications.
- Experience with containerization technologies such as Docker or Kubernetes.
Talent Acquisition Manager – AI Infrastructure & Engineering
San Francisco, California
Hybrid Working
We are expanding our global team and launching a new office in San Francisco.
WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.
This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.
You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.
This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.
The Role
You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.
Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.
Key Responsibilities
• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments
• Proactively source talent across the United States through mapping, referrals and direct outreach
• Screen candidates for technical capability, experience and long term fit
• Partner with engineering leaders to define hiring priorities and role requirements
• Maintain clear tracking of hiring pipelines and delivery progress
• Support wider Talent Solutions activity during peak delivery phases
• Ensure a professional and consistent candidate experience
• Champion fair and inclusive hiring practices
Key Experience
• Proven experience hiring across complex engineering environments
• Strong track record building pipelines across software and infrastructure roles
• Comfortable engaging with technical stakeholders and discussing engineering topics
• Excellent communication and stakeholder management skills
• Strong organisation with the ability to manage multiple roles simultaneously
What We Offer
• Competitive salary and benefits
• Opportunity to support one of the fastest growing AI infrastructure build programmes globally
• Growth within a high performing delivery focused team
• Hybrid working model
• A collaborative culture that values ownership, pace and problem solving
Additional Requirements
• Ability to commute to the San Francisco office
• No visa sponsorship available
• Hybrid working model
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 Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love.
What you'll do:
- Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage
- Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
- Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
- Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability
What we're looking for:
- Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
- 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
- 8+ years of relevant industry experience in leading the design of large scale & production distributed systems.
- Deep knowledge with building distributed systems.
- Strong cross-functional collaborator and communicator.
- Strong people development skills.
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-HYBRID
#LI-AH2
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.
US based applicants only$177,185—$364,795 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
A well-funded startup with strong enterprise traction is building a category-defining AI workbench to accelerate enterprise AI adoption.
The platform ingests messy, real workflows, automates them end-to-end, and continuously learns from human decision-making. This is a customer-focused, hands-on engineering role centred on shipping reliable, production-ready AI systems.
As a Customer facing Full stack Engineer, you’ll partner with customers, product, and engineering to build and scale AI directly within enterprise workflows.
What You’ll Do
• Build and deploy AI-powered features across frontend, backend, and platform
• Implement LLM systems including RAG, embeddings, agents, and document processing
• Rapidly prototype using real customer data and iterate quickly
• Ship user-facing AI with strong guardrails, reliability, and UX
• Optimize for performance, latency, safety, and scale
• Contribute to architecture, testing, and production readiness
• Develop reusable platform components and prompt frameworks
What You Bring
• BS required, Master’s preferred
• Experience in a Forward Deployed Engineering role
• Proven track record deploying AI systems into production
• Strong hands-on experience with LLMs and RAG
• Solid software engineering fundamentals
• Comfort in 0 to 1, early-stage environments
• Familiarity with enterprise workflows and unstructured data
Compensation
• Up to $350,000 total comp
• Strong bonus
• Competitive equity
• Hybrid, 3 days onsite in Palo Alto
You’ll help transform fragmented enterprise workflows into a continuously improving AI platform, shaping a product already seeing strong demand.
