Engineering Jobs in San Carlos, CA

About the Company

Atomus’ mission is to provide world-class cybersecurity for the world’s most critical organizations. We build security compliance software delivered as managed services sold directly, with relevant professional services and support. Our commercial customers include hypersonic aircraft companies, satellite and space mission systems companies, AI and software companies, among many others serving primarily the aerospace and defense industry. At Atomus we are hardworking, we move fast, and we put our customers first.

About the Role

As a Business Operations Intern, you’ll play a key role in keeping our fast-moving team running smoothly—from coordinating product shipments and managing our Shopify store to planning team events and supporting the cofounders on strategic projects. We’re looking for someone who moves quickly, leans on AI tools to work smarter, and has a sharp eye for design and detail. This is a hands-on role where you’ll gain real experience across every facet of a growing cybersecurity startup.

Responsibilities

• Coordinate and manage physical shipments of security products to customers, including tracking orders, preparing packages, and communicating delivery timelines
• Help manage and maintain the company’s Shopify store, including inventory tracking, product listings, and order fulfillment
• Plan and coordinate team events and travel logistics
• Support the cofounders on a variety of strategic and operational projects as priorities evolve
• Manage office supply and snack ordering to keep the team well-stocked and happy
• Leverage AI tools and agents (e.g., Claude, ChatGPT, automation platforms) to streamline workflows and increase efficiency across tasks

Qualifications

• Currently enrolled in a Bachelor’s or Associate’s degree program at a Bay Area college or university, ideally pursuing a technical degree (e.g., Computer Science, Engineering, Information Systems, Business Analytics)
• Demonstrated proficiency with AI tools and a strong preference for using AI agents (e.g., Claude, Lovable) to get work done faster
• A good eye for design—whether it’s formatting a document, laying out a slide deck, or organizing a storefront
• Strong organizational skills and attention to detail
• Excellent written and verbal communication skills
• Comfortable managing logistics and coordinating shipments or deliveries
• Thrives in a fast-paced environment and can juggle multiple priorities with minimal direction
• Reliable, self-motivated, and able to work independently
• Ability to work in-office in downtown San Francisco 10–20 hours per week

Preferred Skills

• Interest in cybersecurity, technology, or the startup ecosystem
• Experience with Lovable or similar AI-powered app building tools
• Experience with Shopify or other e-commerce platforms
• Experience coordinating events, travel, or conference logistics
• Previous experience with shipping, logistics, or inventory management
• Familiarity with project management tools (e.g., Asana, Trello, Notion)
• Familiarity with design tools (e.g., Canva, Figma) for light creative tasks
• Previous internship or work experience in an office or operations role

Pay range and compensation package

Competitive hourly pay. Flexible scheduling around your class schedule (10–20 hours/week). Mentorship and hands-on exposure to multiple areas of a growing cybersecurity company. A collaborative, supportive team culture in a downtown San Francisco office.

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.

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.

• Responsible for updates, upgrades and maintenance of the following systems: Rail Operations Control System (ROCS); Predictive Arrival and Departure System (PADS), Positive Train Control (PTC) back-office systems, Traction Power Supervisory Control and Data Acquisition (SCADA) System and Rail Scheduling.
• Perform Quality Assurances and system engineering support of all back off systems including PTC office systems, Back Office Server (BOS), Rail Operations Control System (ROCS), Network Management System (NMS); Interoperable Train Control Message Server (ITCMS); Wayside Status Relay Service (WSRS), and the interfaces to all other operational systems.
• Develop, document, and maintain Standard Operating Procedures (SOPs), technical standards, and best practices for all train control and related systems to ensure consistency, safety, and regulatory compliance.
• Develop and implement training programs to upskill staff, mentoring team members at all levels on train control systems, operational procedures, and project management to strengthen technical capacity, foster skill development, and ensure succession planning. 
• Ensure Caltrain systems meet Federal Railroad Administration (FRA) mandated interoperability requirements with all tenant railroads; ensure Caltrain train control systems are compatible with Association of American Railroads (AAR) standards; follow the ITC guidelines that Caltrain must maintain ?N-2? backwards compatible software versions.
• Manage complex and large-scale train control engineering projects as the Technical Lead for Caltrain. 
• Manage the work of outside contractors and assist higher level Caltrain Directors and Executives in planning and evaluating the quantity and quality of work performed by subordinate staff.
• Supervise staff.  Hire, mentor, and take appropriate corrective and/or disciplinary action.  Ensure EEO policies and procedures are followed. Participate in selection of staff.  Coordinate staff training and professional development. Establish performance objectives. Monitor and evaluate employee performance.

• Establish and maintain work relationships with internal and external stakeholders to develop consensus on capital project work plans.
• Establish schedules and methods for providing train control system engineering design services on assigned capital projects; identify resource needs; review needs with appropriate management staff; allocate resources accordingly.
• Review and approve project schedules; assist in strategic planning; prepare status reports; coordinate project resources; communicate with all project participants on relevant issues; identify and resolve train control engineering issues.
• Provide general technical oversight of railroad train control systems.
• Perform system usage and performance analyses. 
• Support Caltrain Configuration Management (CM) Manager on configuration control, prioritize system defects and corrective actions; participate in Configuration Control Board (CCB) meetings as required.
• Direct, review, and approve the preparation of train control engineering designs, drawings, and specifications; identify and resolve technical engineering issues.
• Manage technical elements of the office systems warranty and long-term maintenance support service agreements.
• Review and approve operating manuals and procedures developed by various systems providers or vendors.
• Manage all technology refresh and software upgrades/updates and associated testing without interrupting regular railroad operations.
• Establish and lead a knowledge management framework to systematically capture, update, and share institutional knowledge through structured documentation, training programs, and knowledge transfer initiatives.
• Participate in the preparation and administration of the train control engineering program budget (Operating & Maintenance, and Capital); submit budget recommendations; monitor expenditures.
• Review consultant proposals and designs; recommend awards; conduct or participate in the pre-bid conferences prior to system contract awards.
• Perform all job duties and responsibilities in a safe manner to protect one?s self, fellow employees, and the public from injury or harm. Promote safety awareness and follow safety procedures in an effort to reduce or eliminate accidents.
• Perform other duties as assigned.

Sufficient experience, training and/or education to demonstrate the knowledge and ability to successfully perform the essential functions of the position. In lieu of a degree, work-related experience that demonstrates the skills and experience necessary to perform this role will be accepted. Development of the required knowledge and abilities is typically obtained through but not limited to:

• Bachelor?s degree in electrical/electronics, computer science, or a related field.
• Five (5) years of railroad industry experience in Train Control System and SCADA system development and maintenance.
• Two (2) years supervisory experience

• Knowledge and experience with AIMCore Product/Software a plus.
• Possesses a broad interdisciplinary knowledge of supervisory train control, wayside signal, highway crossing warning system, predictive and arrival system, traffic signal control, traction power substations and distribution, SCADA, server systems, virtualized server architectures, databases, cloud server systems, networking, etc.
• Knowledge of operating systems (UNIX, Linux, Microsoft)
• Knowledge of VHF and UHF radio voice and data communications, information assurance, data security and networking technologies.
• Experience with Configuration Management and Quality Assurance Systems.
• Ability to Interpret and revise engineering plans, drawings, and specifications.
• Proficient with Microsoft Office Suite.
• Effective oral and written communication skills.

PI282632635

About Keyfactor

Our mission is to build a connected society, rooted in trust, with identity-first security for every machine and human. Keyfactor helps organizations move fast to establish digital trust at scale - and then maintain it. With decades of cybersecurity experience, Keyfactor is trusted by more than 1,500 companiesacross the globe. We are proud to continually earn recognition as a Best Place to Work, and we achieve that through our amazing people who cultivate our culture as we grow. We hope you will trust your future with Keyfactor!

Job Title: Support Engineer, Tier 3

Location: United States; Remote, MST or PST

Experience: Senior Level

Job Function: Support

Employment Type: Full-Time

Industry: Computer and Network Security

Job Summary

The Support Engineer, Tier 3, functions as a senior individual contributor responsible for resolving the most complex and high-impact technical issues. This role provides technical leadership across the support organization, partners closely with Product and Engineering teams, and drives systemic improvements that enhance product stability, support effectiveness, and customer outcomes.

Applicants must hold US citizenship or US permanent resident status.

Job Responsibilities

Advanced Technical Resolution

• 
  
• Independently resolves critical, complex, and high-severity customer issues, including those with broad operational or customer impact.
  
• Serves as an escalation point for advanced technical issues, applying deep diagnostic expertise across multiple technical domains.
  
• Proactively identifies and addresses issues prior to customer or executive escalation.
  
• Reproduces customer issues in lab or test environments to validate root cause and confirm resolution.
  
• Builds and maintains lab environments used for advanced troubleshooting, validation, and technical enablement.
  

Subject Matter Expertise

• 
  
• Acts as a senior subject matter expert for assigned Keyfactor products, including Command and/or EJBCA.
  
• Provides expert-level guidance on PKI, cryptographic concepts, compliance considerations, and secure deployment practices.
  
• Applies broad domain knowledge to diagnose complex, non-routine issues across infrastructure, application, and security layers.
  
• Contributes technical insight related to emerging risks, architectural considerations, and support readiness.
  

Knowledge Sharing & Enablement

• 
  
• Mentors and provides technical guidance to support engineers across all tiers.
  
• Identifies knowledge gaps through case analysis and operational data and contributes to targeted training and documentation.
  
• Develops and maintains technical documentation, ensuring accuracy, clarity, and alignment with internal standards and industry best practices.
  
• Promotes consistent knowledge sharing to improve overall team capability and reduce recurring issues.
  

Systemic Improvement & Cross-Functional Collaboration

• 
  
• Identifies recurring issues and systemic deficiencies and leads efforts to implement long-term corrective actions.
  
• Partners with Product, Engineering, and Support leadership to address root causes and improve product and support processes.
  
• Provides technical input that informs product quality, platform stability, and support scalability.
  
• Represents customer impact and operational risk during cross-functional discussions and incident reviews.
  

Customer & Incident Management

• 
  
• Manages high-profile customer escalations and outages with professionalism, technical rigor, and clear communication.
  
• Communicates complex technical findings and recommendations to both technical and non-technical stakeholders.
  
• Maintains accountability for case progression, resolution quality, and documentation accuracy.
  

Minimum Qualifications, Education, and Skills

• 
  
• 3+ or more years of advanced technical support experience or demonstrated equivalent expertise in PKI or related security technologies.
  
• Demonstrated depth of expertise in one or more technical domains required to support Keyfactor products.
  
• Advanced knowledge of Windows Server and/or Linux, including IIS, ADFS, WAP, and Active Directory.
  
• Strong expertise in PKI, ADCS, certificate lifecycle management, and cryptographic principles.
  
• Proficient in SQL database analysis, including complex queries and table structure evaluation.
  
• Strong understanding of networking concepts, including firewalls, load balancers, and proxy configurations.
  
• Experience with cloud platforms such as AWS and/or Azure.
  
• Expertise in containerization and orchestration technologies (Docker, Kubernetes).
  
• Demonstrates strong verbal and written communication skills with the ability to convey complex technical information clearly and professionally.
  
• Maintains a high standard of customer focus and operational accountability.
  
• Capable of identifying root causes of complex issues and articulating clear, actionable resolutions.
  

Compensation

Salary will be commensurate with experience.

Culture, Career Opportunities and Benefits

We build teams that continually strive to get better than the day before. You will be challenged daily and given opportunities to grow personally and professionally. We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.

Here are just some of the initiatives that make our culture special:

• 
  
• Second Fridays (a company-wide day off on the second Friday of every month minus November and December of 2025 due to the Holiday schedule). Please note that this benefit is subject to change.
  
• Comprehensive benefit coverage globally.
  
• Generous paid parental leave globally.
  
• Competitive time off globally.
  
• Dedicated employee-focused ambassadors via Key Contributors & Culture Committees.
  
• DIVERSE Commitment, a call to action for a more inclusive and diverse future in business, society, and technology.
  
• The Keyfactor Alliance Program to support DEIB efforts.
  
• Wellbeing resources, wellness allowance, mindfulness app free membership, Wellness Wednesdays.
  
• Global Volunteer Day, company non-profit matching, and 3 volunteer days off.
  
• Monthly Talent development and Cross Functional meetings to support professional development.
  
• Regular All Hands meetings - followed by group gatherings.
  

Our Core Values

Our core values are extremely important to how we run our business and what we look for in every team member:

Trust is paramount.

We deliver security software and solutions where trust and openness are of the highest importance for our customers. We are honest and a trusted partner in every aspect of business.

Customers are core.

We strategize, operate, and execute through a customer-centric view. We prioritize the security interests of our customers, and we act as if their data were our own.

Innovation never stops, it only accelerates.

The speed of change is accelerating. We are committed, through investment and focus, to stay ahead of the innovation curve.

We deliver with agility.

We thrive in high-paced and continually changing environments. We navigate through newly added variables, adjust accordingly, while driving towards our strategic goals.

United by respect.

Respect for all is what unites us. We promote diversity, inclusivity, equity, and acting with empathy and openness, both in our business and in our communities.

Teams make "it" happen.

Vision and goals are not individually achievable - they require teamwork. We pride ourselves in operating as a cohesive team, creating promoters and partners, and winning as one.

Keyfactor is a proud equal opportunity employer including but not limited to veterans and individuals with disabilities.

REASONABLE ACCOMMODATION: Applicants with disabilities may contact a member of Keyfactor's People team via and/or telephone at to request and arrange for accommodations at any time.

Keyfactor Privacy Notice

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 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help 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.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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. 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

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

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:

• 
  
• Perform cell line expansion, maintenance, cryopreservation, and thawing of multiple mammalian cell lines.
  
• Prepare cell culture media with complex supplements and ensure proper cell handling procedures.
  
• Collaborate with team members to support cell culture needs for ongoing research projects.
  
• Coordinate with cross-functional teams to assess cell banking and cell culture requirements and deliver materials within timelines.
  
• Conduct and support cell line quality control procedures, including validation for experimental integrity.
  
• Maintain accurate laboratory notebooks and documentation for all experiments and lab activities.
  
• Support development of genetically engineered cell lines and in-vitro cell-based assays for oncology programs
  

• 
  
• Bachelor's degree in Molecular Biology, Cell Biology, Cancer Biology, or related life science field.
  
• Minimum 3 years of hands-on experience working with:
  
  • 
    
  • Cancer cell lines
    
  • Primary cells
    
  • Genetically engineered cell lines
    
  
  
  
• Strong expertise in aseptic techniques and mammalian cell culture.
  
• Experience handling multiple cell lines simultaneously.
  
• Proficiency in media preparation with complex supplements.
  
• Strong organizational skills, attention to detail, and record-keeping abilities.
  
• Familiarity with cell culture QC practices, including:
  
  • 
    
  • Mycoplasma testing
    
  • Cell line authentication.
    
  
  
  

• 
  
• 6+ years of hands-on experience in mammalian cell culture within the biopharmaceutical or biotechnology industry.
  
• Experience using electronic lab notebooks (ELN) for experiment documentation and workflow management.
  
• Ability to optimize and troubleshoot mammalian cell culture systems.
  
• Experience writing and maintaining Standard Operating Procedures (SOPs).
  
• Familiarity with online genetic databases and integration of phenotypic/genetic data into cell bank systems.
  
• Experience with viral and non-viral transduction or transfection methods, including:
  
  • 
    
  • Lentivirus
    
  • Retrovirus
    
  • Lipid-based systems
    
  
  
  
• Experience using laboratory instruments such as:
  
  • 
    
  • Plate readers
    
  • Cell counters
    
  • Automated western blot systems
    
  
  
  
• Ability to run basic cell-based assays and develop cell line banking protocols.
  
• Strong written and verbal communication skills.
  
• Ability to work effectively in a fast-paced environment with shifting priorities.
  

• 
  
• Support the setup and launch of the new Process Technologies & Development lab, including workspace organization, equipment installation support, and qualification readiness.
  
• Operate, maintain, and troubleshoot a broad range of primary container and analytical laboratory equipment, including:
  
  • 
    
  • Leak detection systems
    
  • Headspace analyzers
    
  • Optical and particle counting microscopes
    
  • MicroCT scanners
    
  • Automatic filling equipment
    
  • Filtration and mixing tanks
    
  • Balances and related instrumentation
    
  
  
  
• Independently refine and develop laboratory processes and equipment workflows to improve efficiency, robustness, and usability.
  
• Maintain accurate equipment logs, calibration records, and instrument readiness documentation.
  
• Ensure laboratory organization, including consumables tracking, chemical inventory, and compliance with safety, quality, and documentation requirements.
  
• Partner with Facilities, Metrology, EH&S, and cross-functional Process Development teams to support seamless lab operations and timely issue resolution.
  

• 
  
• Apply sound scientific judgment in planning and troubleshooting experimental studies.
  
• Support method development, workflow optimization, and evaluation of new technologies relevant to primary container development and characterization.
  
• Drive continuous improvement in lab workflows, equipment utilization, and operational efficiency.
  
• Maintain a culture of cleanliness, organization, and scientific excellence within the laboratory.
  

• 
  
• Bachelor's or Master's degree in Engineering, Chemistry, Biology, Pharmaceutical Sciences, or a related technical field.
  
• Hands-on laboratory experience (academic or industry) with strong familiarity in equipment operation and laboratory best practices.
  
• Demonstrated experience designing and executing experiments with strong attention to detail and scientific rigor.
  
• Excellent organizational skills with a proven ability to maintain a clean, structured, and efficient laboratory environment.
  
• Strong communication skills and ability to manage multiple priorities in a fast-paced environment.
  

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• Experience supporting laboratory setup, including equipment installation, qualification, and initial operational readiness.
  
• Familiarity with a broad range of laboratory equipment, including routine operation, troubleshooting, and maintenance.
  
• Experience with studies involving:
  
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  • Container Closure Integrity (CCI)
    
  • Extractables and Leachables
    
  • Device-drug interface evaluations
    
  • Fill-finish operations
    
  
  
  
• Ability to design and refine lab workflows that improve efficiency and usability across teams.
  
• Prior experience working within cross-functional development teams.