Benefits:

• Competitive compensation packages, including equity

• Remote work culture

• Health, dental and vision insurance

• Mental healthcare support and services

• 401(K) plan

Education Requirements:

• MS/Ph.D. in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering

Experience Requirements:

• 5+ years ML Experience

• Experience developing machine learning-driven products at scale

• Experience solving problems using Machine Learning with PyTorch

• Exceptional understanding of designing ML systems in production at scale and applying a quantitative approach to identifying performance bottlenecks and cost/performance tradeoffs

• Practical experience with large data systems, data models, and batch and streaming data pipelines

Other Requirements:

• Ability to ramp up quickly on our tech stack, which includes GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js

• Extensive experience with model deployment, both static within applications and dynamic, using Flask, FastAPI, or similar frameworks

Responsibilities:

• Build and maintain a training pipeline for fine-tuning open-source LLMs

• Serve and Deploy the LLM on GPUs

• Formulate novel product issues to ML problems and propose and iterate on solutions quickly

• Triage customer issues to model/system shortcomings and communicate the complex architecture in a simple, comprehensible way to internal stakeholders

• Keep up with the fast-growing generative AI space and incorporate the latest developments into our system

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

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:

• Remote work option

• Ability to grow with a dynamic startup and work on an exciting product

• Freedom to experiment with your ideas – we’re always open to suggestions and appreciate personal initiative

Experience Requirements:

• At least 2 years of Python development experience

• Experience building production grade machine learning solutions

• Experience developing REST APIs

• Knowledge of TensorFlow, pytorch, pandas and other popular ML packages

Other Requirements:

• Experience with natural language processing

• Experience developing recommender systems

• Experience with Docker, Kubernetes or other ML deployment strategies

Responsibilities:

• Develop an industry-leading natural language processing (NLP) system

• Develop travel product personalization engine

• Design, deploy, and monitor ML models in production

• Build APIs around machine learning models

Benefits:

• Remote work option

• Ability to grow with a dynamic startup and work on an exciting product

• Freedom to experiment with your ideas – we’re always open to suggestions and appreciate personal initiative

Experience Requirements:

• At least 2 years of experience in a similar role

• Experience working with data in Python

• Experience with Looker, Tableau, or other business analytics tools

• Knowledge of SQL and NoSQL databases

Responsibilities:

• Find meaningful business insights in large-scale data

• Visualize the data, create dashboards and reports for the business

• Import and transform data for machine learning models

• Optimize the data collection, storage, and analysis on a large scale

Education Requirements:

• Bachelor's or Master's degree in Marketing, Business, IT

Experience Requirements:

• Final-year students or fresh graduates

Other Requirements:

• Programming, Problem-solving, Technical Documentation, Data Analysis

Responsibilities:

• Research Support

• Prototyping

• Problem Solving

• Algorithm Enhancement

• Documentation

Benefits:

• Competitive Compensation and Equity

• Hybrid workplace

• 401k plans with a matching program

• Medical, Dental and Vision coverage

• Life and AD+D Insurance

Education Requirements:

• Excellent academic background in Computer Science, Mathematics, Statistics, or a related field

Experience Requirements:

• Significant experience with increasing levels of responsibility working in data analytics/science

Other Requirements:

• Excellent technical proficiency in Python, SQL, and data transformation tools

• Strong familiarity with data visualization tools

• Experience leading engagements with external customers

• Background in healthcare is a plus

• Excellent communication skills

Responsibilities:

• Collaborate with cross-functional teams

• Utilize Python, SQL, business intelligence tools

• Collaborate on the construction and maintenance of data pipelines

• Serve as a trusted advisor to external customers

• Stay informed about industry trends

Benefits:

• Competitive salary

• Stock options

• Generous healthcare benefits

• Fully paid parental leave

• Personal development budget

Benefits:

• Competitive salary

• Stock options

• Generous healthcare benefits

• Fully paid parental leave

• Personal development budget

Benefits:

• Competitive salary

• Stock options

• Generous healthcare benefits

• Fully paid parental leave

• Personal development budget

Benefits:

• top-notch gear

• home office setup budget

• monthly support allowance

• access to a coaching platform called Bravely

• many other perks

Benefits:

• Insurance policies

• Work from home flexibility

• Celebrations of festivals and birthdays

• Generous sabbatical and leave policy

• Bonuses for successful referrals

Benefits:

• Equal Pay

• Employee referral rewards

• Wellness benefits

• Flexible work schedules

• Mentoring opportunities

Benefits:

• Flexible working schedule and hybrid model

• Excellent career development opportunities

• Culture of feedback and continuous improvement

• International and diverse team

• Continuous training opportunities

Education Requirements:

• Degree in Linguistics or Computational Linguistics, or a degree computer science with a minor in linguistics

Other Requirements:

• Native speaker of the target language and fluent in English

• Experience in using, adapting and creating scripts in python

• Knowledge of relational databases and using, adapting and creating SQL queries

• Experience in annotation work

• Knowledge of semantics, syntax, morphology or lexicography

• Excellent oral and written communication skills

• Attention to detail and good organizational skills

• Ability to work independently with confidence and little oversight

Responsibilities:

• Annotating and reviewing linguistic data

• Collect data and perform data analysis

• Labeling text for disambiguation

• Evaluating current system outputs, detect incidental and systemic errors and provide solutions

• Translation and localization tasks

Benefits:

• Remote native From San Francisco and Austin to Peru and Malaysia, we value remote work: it's about the who, what, and how, not the when and where. Take control of your schedule and meet great teammates from around the world!

• Share in the rewards Graphistry focuses on business fundamentals like growth that is profitable and equitable. We pay competitive salaries, award meaningful equity, and provide benefits like healthcare.

• Develop your career Build your career as part of growing the company. We assist with conference speaking, senior mentorship, and project ownership so you can grow. Go hands-on with building products, companies, and next-generation technology like GPUs, graphs, and generative AI.

• Best technical work of your life From GPUs & graph AI to tricky cyber & enterprise to designing collaborative systems, Graphistry will help stretch you in new directions and in memorable ways. Our team has a track record of working on leading data technology and applying it to critical industries.

• Make impact Join us in helping our users with critical computing tasks like keeping the energy grid safe from attacks, tracking COVID medical misinformation, understanding cancer genomes, and untangling massive fraud. For some of our projects, clearance helps as well.

Responsibilities:

• advance Louie.AI, the first genAI-native platform for data intensive investigations.

• building the first autonomous cybersecurity AI analyst

• contribute to adjacent work around Louie.AI such as in graph RAG and agentic operating systems

Benefits:

• Remote native From San Francisco and Austin to Peru and Malaysia, we value remote work: it's about the who, what, and how, not the when and where. Take control of your schedule and meet great teammates from around the world!

• Share in the rewards Graphistry focuses on business fundamentals like growth that is profitable and equitable. We pay competitive salaries, award meaningful equity, and provide benefits like healthcare.

• Develop your career Build your career as part of growing the company. We assist with conference speaking, senior mentorship, and project ownership so you can grow. Go hands-on with building products, companies, and next-generation technology like GPUs, graphs, and generative AI.

• Best technical work of your life From GPUs & graph AI to tricky cyber & enterprise to designing collaborative systems, Graphistry will help stretch you in new directions and in memorable ways. Our team has a track record of working on leading data technology and applying it to critical industries.

• Make impact Join us in helping our users with critical computing tasks like keeping the energy grid safe from attacks, tracking COVID medical misinformation, understanding cancer genomes, and untangling massive fraud. For some of our projects, clearance helps as well.

Responsibilities:

• advance GFQL, our new open-source GPU-accelerated graph dataframe query language

• make a significant extension to GFQL

Benefits:

• Remote native From San Francisco and Austin to Peru and Malaysia, we value remote work: it's about the who, what, and how, not the when and where. Take control of your schedule and meet great teammates from around the world!

• Share in the rewards Graphistry focuses on business fundamentals like growth that is profitable and equitable. We pay competitive salaries, award meaningful equity, and provide benefits like healthcare.

• Develop your career Build your career as part of growing the company. We assist with conference speaking, senior mentorship, and project ownership so you can grow. Go hands-on with building products, companies, and next-generation technology like GPUs, graphs, and generative AI.

• Best technical work of your life From GPUs & graph AI to tricky cyber & enterprise to designing collaborative systems, Graphistry will help stretch you in new directions and in memorable ways. Our team has a track record of working on leading data technology and applying it to critical industries.

• Make impact Join us in helping our users with critical computing tasks like keeping the energy grid safe from attacks, tracking COVID medical misinformation, understanding cancer genomes, and untangling massive fraud. For some of our projects, clearance helps as well.

Responsibilities:

• help bring Graphistry graph data science technologies & expertise to new and growing advanced initiatives in top US government agencies

• help senior government leadership (C-level in agency + department) identify high-impact use cases

• working with the data innovation teams in kicking off the use cases or even leading them

• taking first cracks at wranging & analyzing new and fused federal graph data

• guiding overall use