Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 10+ years of deep consumer product management experience working on open ended product spaces

• 3+ years working on user growth or subscription growth

Other Requirements:

• Ability to deliver on product execution focusing on both the short term and long term

• Strong understanding of AI industry, in terms of competitors and incumbent strategies

• Technical degree and/or prior software engineering experience

Responsibilities:

• Execute on product vision/ideation

• Collaborate on strategy and implementation

• Collaborate with users, engineering, design, community, and marketing

• Partner with data science to test and measure product quality

• Drive cross-functional product deployment, release coordination, and product improvement

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 8+ years of deep consumer product management experience working on open ended product spaces, ideally within the Integrity/Trust and Safety space

• Product Management Leadership skills (ideally have managed a team of PM’s)

• Strong track record building and launching successful, high growth Consumer facing B2C products from 0 -> 1 at scale

Other Requirements:

• Ability to deliver on product execution focusing on both the short term and long term

• Strong understanding of AI industry, in terms of competitors and incumbent strategies

Responsibilities:

• Execute on the product vision/ideation, collaborate on strategy, and implementation

• Collaborate with users, engineering, design, community, and marketing

• Partner with data science to test and measure quality of the product experience, set clear goals, tune safety classifiers, and hold the team accountable

• Drive cross-functional product deployment, release coordination, and product improvement for safe experiences within the product and for 3rd party partners

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• Bachelor’s degree with 10+ years’ of relevant experience in user experience, applied research and/or product research and development or an advanced degree with 8+ years of relevant experience

Experience Requirements:

• 7+ years of experience leading user research, preferably in a senior or lead role for a large consumer product area with many stakeholders

Other Requirements:

• Comfort with ambiguity and solving problems without an established process to follow

• Experience conducting UX research for a social media or consumer app

• Experience with usertesting.com & unmoderated testing

• Experience coding with SQL, STATA, SPSS, R, or equivalent

• Experience applying statistical analysis methods such as regressions, ANOVA, and T-Tests, and the ability to summarize and explain those results for non-technical audiences

• Proficient in relevant design and research tools

Responsibilities:

• Partner with product and business stakeholders to identify and prioritize research topics

• Proactively identify research needs and gaps, and implement solutions

• Design and execute end-to-end custom primary research

• Analyze research data and translate findings into actionable recommendations

• Communicate research findings in a clear and compelling manner to a variety of audiences

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 5+ years of experience as a full-stack software engineer building consumer-facing products with a strong focus on building scalable backend services

Other Requirements:

• Experience with Python, Golang, Typescript, and React all nice to haves

Responsibilities:

• Building innovative consumer-oriented AI experiences

• Ideate and build emerging “Big Bet” experiences

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• B.A.S. in Computer Science or equivalent experience

Experience Requirements:

• 5+ years of industry experience

Other Requirements:

• Experience building/consuming RESTful and gRPC based web-services

• Experience building and managing infrastructure in a cloud environment (GCP, AWS or Azure)

• Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow

• Experience writing highly performant service in a modern typed language

• Experience configuring and maintaining CI/CD pipelines and automated testing

Responsibilities:

• Work cross functionally with product, data science, data platform and ML researchers

• Identify, design and implement the applied ML infra

• Lead implementation of our ML backend systems

• Support scaling our existing systems

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production system code

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track record of exceptional research or creative ML systems projects

• Comfortable writing model development code (PyTorch) for either training or inference

Responsibilities:

• Work on cutting-edge ML training and inference systems

• Optimize the performance and efficiency of our GPU clusters

• Develop new technologies that fine-tune leading consumer AI models

• Serve 20K+ QPS in production with LLMs

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• preferably 2+ years of industry experience

Other Requirements:

• Deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models

• Have a track record of successfully owning projects from start to finish

• Have experience with generative models for various modalities

• Experience working with proven tools

• Experience working with diffusion models

Responsibilities:

• Determining the type of training data we need

• Developing new model architectures

• Creating new evaluations

• Writing fast inference algorithms

• Working with product teams to integrate feedback mechanisms into the product

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production-facing and training code

• Experience working with GPUs (training, serving, debugging)

• Experience with data pipelines and data infrastructure

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track-record of exceptional research or creative applied ML projects

Responsibilities:

• Develop alignment algorithms and loss functions

• Write data pipelines to process diverse web data

• Identify quality signals to understand our model’s performance

• Design sampling algorithms to improve serving efficiency

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 4+ years of experience supporting the infrastructure within an ML environment

Other Requirements:

• Experience in developing tools used to diagnose ML infrastructure problems and failures

• Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)

• Experience working with GPUs

Responsibilities:

• Provide infrastructure support to our ML research and product

• Build tooling to diagnose cluster issues and hardware failures

• Monitor deployments, manage experiments, and generally support our research

• Maximize GPU allocation and utilization for both serving and training

Benefits:

• Competitive salary

• Equity

• Remote work option

Experience Requirements:

• 3+ years of experience

Responsibilities:

• Develop and maintain backend infrastructure

• Build and improve AI models

• Work with frontend engineers to integrate AI features

Benefits:

• Competitive salary

• Equity

• Remote work option

Experience Requirements:

• 3+ years of experience

Responsibilities:

• Develop and maintain frontend infrastructure

• Work with backend engineers to integrate AI features

• Improve user experience

Benefits:

• Competitive compensation packages

• High-quality individual and family medical, dental, and vision insurance

• Health savings account with available employer match

• Employer-matched 401(k) retirement plan with immediate vesting

• Employer-paid group term life insurance and the option to elect voluntary life insurance

Education Requirements:

• Bachelor's degree

• Master's degree

• PhD in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field

Experience Requirements:

• Strong experience developing embedded applications and systems using C++

• Strong software design, algorithm, problem-solving, and analytical skills

• Experience with multi-processor SoCs or similar embedded processors used in camera and vision processing

Other Requirements:

• Familiarity with Embedded OS such as FreeRTOS and Linux desired

• Prefer candidates with experience developing software for highly complex, safety-critical sensing systems

Responsibilities:

• Deliver safe and efficient embedded software for state-of-the-art vision-based sensing systems

• Produce high-quality, maintainable code using C++

• Create architecture and designs in alignment with ASPICE and Functional Safety standards

• Design, implement, and test full-stack software running in resource-constrained environments

• Work closely with a multidisciplinary team of hardware, software, and system engineers to ensure the success of our product

Benefits:

• Competitive compensation packages

• High-quality individual and family medical, dental, and vision insurance

• Health savings account with available employer match

• Employer-matched 401(k) retirement plan with immediate vesting

• Employer-paid group term life insurance and the option to elect voluntary life insurance

Education Requirements:

• Bachelor's degree in Engineering, Building Science, or related degree

• Associate's degree with two years of employment experience

• High School Diploma or GED equivalent with four years of employment experience

Experience Requirements:

• One to two years of building facilities experience

• Exceptional, demonstrated customer service skills

Other Requirements:

• Willingness to be available after hours and in emergency situations

• Computer proficiency with Microsoft Office and Google Suite

• Valid driver’s license and clean driving record

• Ability to lift up to 50lbs

Responsibilities:

• Support all REWS functions in Palo Alto; working onsite daily to provide direct support, conduct facility walkthroughs, schedule repairs and maintenance needs, move activities, and respond to all requests in a timely fashion

• Support catering and snack program, including coordinating orders for on-site meals

• Supports the office supplies and consumables program, including taking inventory, ordering supplies, replenishing and managing conference spaces

Benefits:

• Competitive compensation packages

• High-quality individual and family medical, dental, and vision insurance

• Health savings account with available employer match

• Employer-matched 401(k) retirement plan with immediate vesting

• Employer-paid group term life insurance and the option to elect voluntary life insurance

Education Requirements:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience

• Master's degree and 5+ years of relevant experience

• PhD and 2+ years of relevant experience

Experience Requirements:

• Experience with system engineering in an enterprise-level, highly integrated, complex IT environment

• High-Performance Computing (HPC) experience with Cisco UCS, etc

• Familiarity with NFS, Fiber Channel connected storage and networking concepts

Other Requirements:

• Excellent interpersonal skills; ability to work successfully with teams across the organization, including Engineering, Program Management, Operations, and Senior Leadership

• Experience configuring server automation and configuration management tools (ex. Ansible, Terraform)

• Experience with container technology (Docker, Kubernetes)

• Knowledgeable of DNS and IPAM (EIP)

• Identity management (Okta, OpenLDAP, AD)

• Experience with backup and recovery (Veeam)

• Knowledge of Linux/Unix systems design, development, maintenance techniques, and processes

• Experience with administration of, and workflow enhancement/building with, project tracking software (Atlassian Jira)

• Self directed - effective prioritization and time management

• Ability to work in a fast paced high output environment with changing priorities and multiple projects

• Experience with root cause analysis and error correction

• Excellent documentation skills required

• A willingness and ability to learn and internalize new technologies

Responsibilities:

• Support a rapidly expanding infrastructure

• Experience working on a team of strong technical people with responsibility for the operation of mission-critical systems and services

• Deliver complex projects, including coordinating and driving issues to resolution autonomously utilizing excellent technical troubleshooting skills

• Work cross-functionally with highly technical software, hardware, and network engineering teams, understand their goals, and deploy tools and visualizations to get the right data in the hands of teams to make decisions

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives