Education Requirements:

• PhD in a relevant computational field

Experience Requirements:

• Proven research experience

Other Requirements:

• Proficiency in programming languages relevant to AI research, particularly Python

• Strong familiarity with machine learning, especially in areas like computer vision, reinforcement learning, natural language processing, or robotics

• Ability to work independently and as part of a team, bringing fresh ideas and perspectives to complex challenges

• Strong analytical and exceptional problem-solving skills, with the ability to develop innovative solutions and approaches beyond traditional methods

Responsibilities:

• Conduct thorough research and review relevant scientific papers

• Develop and design benchmarks for evaluating AI performance

• Create and iterate on agent architectures to enhance AI capabilities

• Run experiments to test hypotheses and improve agent functionalities

• Collaborate with a cross-functional team to align research goals with company objectives

Experience Requirements:

• Solid experience in software engineering, especially in relation to AI or machine learning projects

Other Requirements:

• Proficiency in programming languages commonly used in AI research (e.g., Python, C++)

• Experienced in version control and code reviews, familiar with automatic integration, deployment development environment

• Experience with machine learning frameworks and tools

• Strong problem-solving skills, with a knack for creative and innovative thinking

• Excellent teamwork and communication skills

Responsibilities:

• Experiment with and adopt the latest research techniques in AI and machine learning

• Develop, maintain, and enhance benchmarks for evaluating AI performance

• Implement and continuously refine our agent architecture to improve functionality and efficiency

• Contribute to the creation of a seamless experimental framework, supporting the integration of research findings into product development

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Other Requirements:

• Strong proficiency in backend programming languages (e.g., Python, Java, Go) and frameworks relevant to our tech stack

• In-depth knowledge of database design and management (SQL, NoSQL) and experience with big data technologies

• Experience with cloud services (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes). Familiarity with continuous integration/continuous deployment (CI/CD) processes and tools

• Excellent problem-solving skills, ability to work in a team environment, and strong communication skills

Responsibilities:

• Collaborate with cross-functional teams to understand the needs for game interactions with agents and provide system and infrastructure solutions that enhance user experience

• Optimize system architecture for high performance and scalability, employing best practices in caching, load balancing and user data management

• Monitor, identify, and resolve infrastructure bottlenecks and performance issues in a timely manner

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Other Requirements:

• Basic proficiency in a programming language such as Python, Java, or C++

• Familiarity with large language models and multimodal AI frameworks

• Understanding of AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch)

• Strong analytical skills, a proactive approach to learning, and the ability to work collaboratively

Responsibilities:

• Assist with developing and maintaining scalable, efficient AI tools and infrastructure

• Collaborate with engineering and research teams to understand project requirements and support agent functionality

Benefits:

• medical

• dental

• vision

• PTO

• 401(k) plan

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field

• 4+ years of relevant experience

Experience Requirements:

• 4+ years of relevant experience in developing and scaling production systems

Other Requirements:

• Skills in programming in Bash, Python, C, and C++

• Knowledge of Rust

• Familiarity with CMake, Kubernetes, and cloud platforms such as AWS or Azure

Responsibilities:

• Building key products and enterprise solutions

• Developing user-oriented code and documentation

• Working with the research team to materialize innovations into products

Benefits:

• medical

• dental

• vision

• PTO

• 401(k) plan

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field

• 4+ years of relevant experience

Experience Requirements:

• 4+ years of hands-on experience developing full-stack web applications

Other Requirements:

• Experience building and managing full-stack applications from the ground up

• TypeScript/Python production experience, API design, database optimization (PostgreSQL/MySQL), security best practices and authentication systems, React/NextJS

• Strong product intuition and technical leadership skills

Responsibilities:

• Building enterprise-grade products

• Crafting key products and enterprise solutions

• Delivering intuitive and delightful experiences for technologies

Benefits:

• medical

• dental

• vision

• PTO

• 401(k) plan

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field

• 3+ years of relevant experience (Research Engineer)

• 4+ years of relevant experience (Software Engineer - Fullstack/Product, Software Engineer - Infrastructure)

Experience Requirements:

• Proven track record in high-performance computing (Research Engineer)

• 4+ years of hands-on experience developing full-stack web applications (Software Engineer - Fullstack/Product)

• 4+ years of relevant experience in developing and scaling production systems (Software Engineer - Infrastructure)

Other Requirements:

• Experience developing with CUDA, HIP, DPC++, or SYCL (Research Engineer)

• Skills in programming in C, C++, and Python (Research Engineer)

• Experience in open-source contributions, early-stage startups, or as a founder (Research Engineer)

• Experience building and managing full-stack applications (Software Engineer - Fullstack/Product)

• TypeScript/Python production experience, API design, database optimization (PostgreSQL/MySQL), security best practices and authentication systems, React/NextJS (Software Engineer - Fullstack/Product)

• Strong product intuition and technical leadership skills (Software Engineer - Fullstack/Product)

• Skills in programming in Bash, Python, C, and C++ (Software Engineer - Infrastructure)

• Knowledge of Rust (Software Engineer - Infrastructure)

• Familiarity with CMake, Kubernetes, and cloud platforms such as AWS or Azure (Software Engineer - Infrastructure)

Responsibilities:

• Contributing to the design and development of algorithms and GPU kernels for inference and training (Research Engineer)

• Researching new applications for LLMs (Research Engineer)

• Building enterprise-grade products (Software Engineer - Fullstack/Product)

• Crafting key products and enterprise solutions (Software Engineer - Fullstack/Product)

• Delivering intuitive and delightful experiences for technologies (Software Engineer - Fullstack/Product)

Education Requirements:

• An Engineering degree/diploma in CS/EE or a related field

Experience Requirements:

• Proven Experience in hardware & software installation and configuration in the recent past

Other Requirements:

• Able to work independently and get solutions in different environments

• Able to identify missing integrations, environmental issues and raise it with stakeholders

• Able to identify issues proactively and not wait for customers to report the issues

• Passionate about automation and ability to automate as many workflows as possible

• Familiarity with Linux, Networking and Administration, Configuration (3+ years)

• Familiarity with hardware as well as software deployments (3+ years)

• Prior experience on physical security systems (2+ years)

• Experience with Kubernetes (2+ years)

Responsibilities:

• Install and Configure the Client Computer Systems, NVR/VMS systems and Camera/Speaker modules based on the listed recommendations

• Familiarity with Linux Networking commands, Shell Script, VMS/NVR systems and Ansible+Jenkins

• Document and Keep track of all the tenants, installed modules (hardware, software) and 3rd party Systems

• Deploy new tenants as well as any incremental hardware/software upgrades for the customers

• Diagnose Software, Hardware or Networking Issues and mitigate ASAP

Benefits:

• Competitive salary and equity options

• Health, dental, and vision insurance

• Flexible work arrangements

• Opportunities for learning, growth, and professional development

Experience Requirements:

• 3-5 years of experience in customer success, account management, or a similar role, preferably in SaaS or AI-driven technology

Other Requirements:

• Familiarity with AI, security systems, or surveillance technology is a plus. Ability to work with NVR systems, cameras, and related technical setups is beneficial.

• Experience with Asana, Google Sheets, Slack, and other project tracking tools

• Background in physical security or SaaS solutions is highly desirable

• Start Up Experience is a huge plus

Responsibilities:

• Customer Onboarding

• Account Management

• Customer Advocacy

• Performance Monitoring

• Retention & Growth

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

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:

• 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

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:

• 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

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:

• 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:

• 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

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:

• 5+ years of experience at leading chat, social media, or UGC product companies

Other Requirements:

• Strong intuition for choosing the right questions to ask and quickly driving to key insights

• Excel at turning findings into actionable next steps and working with engineering to execute

• Enjoy leaning into high velocity experimentation

• Capable of standing up Character.AI's data science efforts, including the tools and systems that you will need to work effectively as we scale