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

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 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:

• 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

Benefits:

• Competitive Salaries

• Company Stock Options

• Health, Vision & Dental Coverage

• Learning & Development

• Flexible Work Hours

Benefits:

• Competitive Salaries

• Company Stock Options

• Health, Vision & Dental Coverage

• Learning & Development

• Flexible Work Hours

Benefits:

• competitive salary

• stock options

• personal development and learning programs

Education Requirements:

• PhD degree

• Masters degree

Experience Requirements:

• 4+ years of experience of applied research in Machine Learning

Other Requirements:

• Comprehensive and deep knowledge in fields such as machine learning/statistical modelling, deep learning, NLP, NLU, graph learning or reinforcement learning/user intent modelling with at least one publication as the first author in a leading conference or journal related to one of these fields

• Computer Science fundamentals in algorithm design, complexity analysis, data structures, problem-solving and diagnosis

• Experience applying machine learning research in information retrieval, search, information discovery or recommender systems

• Solid experience with programming languages such as Python

• Good written and spoken English communication skills and the ability to present complex solutions with clarity

• Flexible and responsive to spontaneous needs, challenges and opportunities, able to balance conflicting demands on time and priorities

• Highly self-organized, planned and collaborative with a strong personal drive to keep up with a productive mindset

• Continual passion to learn and apply knowledge in a methodical fashion

Responsibilities:

• Develop machine learning models to build our peer-group analysis technology for finance professionals

• Drive the Comparables.ai ML technology in close collaboration with other machine learning scientists, software engineers and product managers

• Initiate and define new research and development ideas to solve the peer-group analysis problem, drive execution, and align across the teams and collaborators

• Work with the tech stack of Python/Tensorflow/Keras/Pytorch/Jupyter notebooks

• Write reusable, testable, and efficient code

Benefits:

• Gold Plan Health Insurance

• Flexible Spending Accounts for Health and Dependent Care

• Fully remote and hybrid work as an option

• Dental & Vision Coverage

• Unlimited discretionary time off

Benefits:

• Gold Plan Health Insurance

• Flexible Spending Accounts for Health and Dependent Care

• Fully remote and hybrid work as an option

• Dental & Vision Coverage

• Unlimited discretionary time off

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:

• Digital Twin

• Flexible environment

• Contribution to personalized medicine

• Stock options

• Health insurance (50% employer-paid for employees and families)

Education Requirements:

• Bachelor's or Master's degree in Data Science related field

Experience Requirements:

• Minimum 10 years of experience in a similar role

Other Requirements:

• Expertise in machine learning and deep learning

• Experience with MLOps tools

• Bioinformatics experience is an asset

• Web interface development experience is an asset

• Bilingual (French and English)

Responsibilities:

• Lead the design and development of machine learning models

• Develop a clear understanding of project requirements

• Collaborate with inter-functional teams

• Implement best practices in software and machine learning development