Benefits:

• Equity

Experience Requirements:

• Track record of making money

Other Requirements:

• Goal-oriented

• Comfortable learning on the job

Responsibilities:

• Running, optimizing, and improving revenue generation strategy

Benefits:

• Equity

Experience Requirements:

• Established track-record of delivering results

• Deep understanding of the ML development cycle

Other Requirements:

• Proficient in Python, Tensorflow or PyTorch

• Goal-oriented

Responsibilities:

• Running, optimizing, and improving AI platform

• Improving platform-wide retention

Benefits:

• Equity

Experience Requirements:

• Experienced in scaling small teams

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Reporting to CEO

• Solving operational problems

• Running hiring processes

Benefits:

• Equity

Experience Requirements:

• Experienced in hiring great engineers

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Sourcing candidates

• Running hiring processes

Benefits:

• Equity

• Comprehensive health insurance

• Meal vouchers

• Sport subscription

• Unlimited access to books and online courses

Education Requirements:

• Bac +5 / Master

Experience Requirements:

• > 3 years

Responsibilities:

• Core Backend Development

• Infrastructure and Orchestration

• Event-Driven Architecture

• Cloud Operations

• Monitoring and Observability

Benefits:

• Plan d’actionnariat salarié

• Tickets restaurant

• Budget sport

• Mutuelle santé prise en charge à 100%

• Séminaires & formations professionnelles

Experience Requirements:

• > 3 years

Responsibilities:

• Core Backend Development

• Infrastructure and Orchestration

• Event-Driven Architecture

• Cloud Operations

• Monitoring and Observability

Benefits:

• Equity Options

• Prime Office Location (Station F)

• Work Flexibility

• Medical Insurance

• Career Growth Opportunities (training, workshops, courses)

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

Experience Requirements:

• Proven expertise in Full-Stack Development

• Proficiency in Front-End and Back-End Web Development

• Foundation in Data Science and AI Solutions

• Familiarity with Amazon Web Services (AWS) and Serverless Computing paradigms

Other Requirements:

• Exceptional problem-solving skills

• Attention to detail

• Autonomy

Responsibilities:

• Design, develop, and deploy full-stack solutions

• Collaborate on ideation, prototyping, and implementation of new functionalities

• Continuously learn and apply emerging technologies in AI, machine learning, and cloud services

• Maintain and improve code quality, organization, and automatization

Benefits:

• 100% covered premium health + dental insurance

• company offsite trips

• work-from-home stipend

• 401k

Education Requirements:

• Masters in ML (or equivalent domain experience)

Experience Requirements:

• Extensive experience building complex machine learning systems and have driven execution from ideation to production implementation

• Strong product sense

Other Requirements:

• You can take a high-level goal and achieve a shippable solution. You are able to draw from a toolkit of methods, and know when to prompt engineer with black box LLMs and when to finetune a custom model

• A Masters in ML (or equivalent domain experience) and 4+ years of work experience building ML systems directly powering customer experiences, or equivalent ML experience

Responsibilities:

• Tackle our hardest ML product challenges at the crux of unlocking truly agentic flows in recruiting, from prototyping and experimentation with LLMs and self-hosted models alike to incorporating and maintaining them in existing and new ML systems.

• Help shape our technical MLOps stack to meet our ML and product needs.

• Write production ready code with speed, cost, and usability in mind.

• Stay close to the ground and hands on keyboard. No task is too small, whether it’s fixing unit tests or curating datasets.

Experience Requirements:

• Experience with finetuning large language models

• 2+ years of experience working directly with large language models

• Deep knowledge of machine learning frameworks such as Pytorch and Deepspeed.

• Strong background in programming languages such as Python and C++

• Entrepreneurial spirit and willingness to adjust to dynamic customer needs

Other Requirements:

• Desire to grow quickly by going above and beyond expectations

Responsibilities:

• Design and run experiments on how to best finetune our in-house LLM models.

• Deploy these custom models end-to-end alongside our ML engineering team.

• Build new MLOps tools from 0 > 1 inside our existing platforms.

• Work closely with leadership and customers to understand large-scale recruiting and HR pain points, and develop state-of-art machine learning solutions for them.

• Write production ready code with speed, cost, and usability in mind

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 in Finance, Accounting, or related Business field; MBA a plus

Experience Requirements:

• 10+ years of relevant FP&A experience, with at least 5 years directly managing people and teams, and ideally at a consumer software company

Other Requirements:

• Adept at operating at all levels with the ability to be hands-on while also keeping an eye on the strategic big picture

Responsibilities:

• Day to day financial planning

• Managing budgeting/spend

• Forecasting

• Reporting

• Driving Character.AI’s fundraising and compute strategy

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

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