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:

• 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:

• Bonus

Education Requirements:

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field is preferred

Experience Requirements:

• 4-7 years in data science, with a strong record of driving business impact

Other Requirements:

• Proficiency in Python, Power BI, SQL, and data manipulation tools; experience with cloud platforms (Snowflake, AWS SageMaker, Azure AI) and MS Power Apps.

• Skilled in a variety of machine learning techniques, including clustering, decision trees, neural networks, and natural language processing (NLP)

• Solid understanding of advanced statistical techniques and real-world application

• Strong written and verbal communication skills

Responsibilities:

• Collaborate with internal teams to identify and prioritize opportunities for leveraging data in product development, marketing strategies, and business processes.

• Extract and interpret data to create actionable insights that drive business growth and customer engagement.

• Evaluate the accuracy of new data sources and data collection methods.

• Develop and deploy custom algorithms and predictive models to optimize customer experience, boost revenue, and refine ad targeting.

• Establish and refine an A/B testing framework to evaluate model performance. Coordinate with cross-functional teams to implement models and track their outcomes in real-time. Design tools and processes to monitor data accuracy and model effectiveness

Benefits:

• AI Research (Speech)

• Amsterdam based

• Competitive Salary and Benefits

Education Requirements:

• PhD or Master’s in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• At least 3 years in ASR and TTS, with a record of delivering impactful solutions

Other Requirements:

• Proficient in Python, with hands-on experience in PyTorch or TensorFlow for speech synthesis

• Strong written and verbal skills; ability to work in a diverse, collaborative team

• Fluent in English; proficiency in additional languages is a plus

Responsibilities:

• Conduct research in ASR and TTS, including projects in voice cloning and conversion

• Create advanced algorithms for speech recognition, synthesis, and voice conversion

• Test ASR and TTS systems in multiple languages using varied metrics

• Work with researchers and engineers to integrate your work into scalable solutions

• Present findings at conferences and in leading journals

Benefits:

• Option for remote work

• Tech Lead (Music Generation)

Education Requirements:

• Advanced degree in a relevant field (PhD preferred)

Experience Requirements:

• Proven experience in training large-scale generative audio models and encoding/decoding audio

• Proficiency in Python, deep learning frameworks, and audio signal processing

• Strong publication record in top-tier conferences (e.g., NeurIPS, ISMIR)

Other Requirements:

• Excellent communication and leadership abilities

Responsibilities:

• Lead research on large-scale generative audio models for music and audio signal processing

• Build and optimize scalable systems for music generation

• Guide and mentor multidisciplinary teams, fostering collaboration and innovation

• Publish findings in top-tier conferences and represent the company in industry events

• Explore synergies between music and speech generation models

Benefits:

• Lunch allowance (in office/client site) + CHF 300/month travel reimbursement

Education Requirements:

• Advanced degree (Master's or Ph.D.) in AI, Machine Learning, or related fields

Experience Requirements:

• Proven track record in AI leadership roles, particularly in consulting

Other Requirements:

• Strong background in Generative AI, LLMs, computer vision, and MLOps (e.g., MLFlow, Kubernetes)

• Python, PyTorch, TensorFlow, LangChain

• Fluent in French; additional European languages are a bonus

• Exceptional client-facing and interpersonal skills

Responsibilities:

• Guide AI projects with expertise in Generative AI, LLMs, multimodal models, and computer vision

• Mentor and lead AI scientists, ensuring high-quality project delivery

• Identify and develop new AI consulting opportunities

• Act as the main client contact, aligning solutions to their AI needs

• Ensure timely and successful execution of AI initiatives

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