Benefits:

• Offers Equity

• Relocation package

• 20 days of paid vacation

• Best medical insurance in France

• Covered subscriptions for AI agents and IDEs

Experience Requirements:

• Strong Python and SQL with an engineering mindset

• Solid applied NLP/ML experience on real-world text

• Comfortable with distributed processing and large-scale storage

• Experience evaluating fuzzy problems and metrics

• Prior work with safety, moderation, or observability datasets

Other Requirements:

• Fluent English

Responsibilities:

• Turn petabytes of unstructured text into structured views

• Build scalable representation pipelines and embeddings

• Use LLMs pragmatically for labeling and enrichment

• Deliver insights that change product and operational decisions

• Ship self-serve analytics datasets and dashboards

Benefits:

• Unlimited budget for professional education

• Offers Equity

• Relocation package

• 20 days paid vacation

• New Apple hardware

Experience Requirements:

• 5+ years of experience in brand or graphic design

• Strong taste in layout and typography

• Ability to create basic animations

• Use of AI tools in design workflow

Other Requirements:

• Fluent English

Responsibilities:

• Build and evolve visual identity

• Create graphics for website, announcements, and social posts

• Work on visuals for events, decks, and product launches

• Turn complex AI ideas into simple visuals

• Fast iterations with product and engineering teams

Benefits:

• Offers Equity

• Relocation package

• 20 days of paid vacation

• Best medical insurance in France

• Covered subscriptions for AI agents and IDEs

Experience Requirements:

• 3+ years shipping high performance ML systems in production

• Deep hands-on experience with inference optimization

• Comfortable with CUDA kernels and Kubernetes

• Experience with Rust or custom Triton kernels (plus)

Other Requirements:

• English language proficiency

Responsibilities:

• Own inference infrastructure and optimize latency and cost

• Build and scale model serving with vLLM or TRT

• Design and maintain vector search pipelines

• Define service health KPIs and support metrics

• Turn research checkpoints into production deployments

Benefits:

• Unlimited budget for professional education

• Offers Equity

• Relocation Package

• 20 days paid vacation

• New Apple hardware

Experience Requirements:

• 3+ years working with Figma (Auto Layout, Components, Variants)

• Experience designing clear functional web interfaces

• Ability to create basic animations

• Use of AI tools in workflow

Other Requirements:

• Fluent English

Responsibilities:

• Evolve Figma design system for consistency and scalability

• Update current screens and design new feature flows

• Work directly with product, engineering, and research teams

Education Requirements:

• BS/MS in Computer Science or equivalent practical experience

Experience Requirements:

• 4+ years of experience with Swift or Objective-C

• 3+ years developing native iOS Applications shipped to production

• Experience with Git, Github, Pull Requests, and Rebasing

• Experience with reactive platforms and functional design patterns

• Experience building reusable libraries and SDKs

Other Requirements:

• Swift UI

• Core Bluetooth

• Combine

• REST

• GraphQL

• CI/CD

• Metal

• Unity

Responsibilities:

• Lead architecture and design of the iOS client platform

• Collaborate with cloud developers and designers

• Mentor other developers and contractors

• Prototype new concepts to inform final implementations

• Automate tasks and quality checks using CI/CD

Education Requirements:

• Bachelor's or Master's degree in Electrical Engineering

Experience Requirements:

• Over 7 years of hands-on experience in circuit board design

• Knowledge in embedded system design and debugging

• Experience in selecting and configuring camera sensors

• Experience designing digital interfaces (MIPI, USB, I2C)

• Regulatory experience with FCC and PTCRB

Other Requirements:

• Altium

• Cadence

• ARM CPUs

• LTE

• Bluetooth

• Wi-Fi

• Oscilloscopes

• Spectrum analyzers

Responsibilities:

• Define hardware system features and interfaces

• Lead lifecycle of hardware projects from concept to production

• Create circuit schematics and PCB layouts

• Design and simulate analog and digital circuits

• Provide support to software engineering for troubleshooting

Experience Requirements:

• 5+ years of professional experience in software engineering or data engineering

• Strong programming skills in Python and Golang

• Deep understanding of SQL and modern data lake architectures

• Hands-on experience with AWS services

• Proficiency with Terraform

Other Requirements:

• S3

• Lambda

• Glue

• Kinesis

• Athena

• RDS

• Argo Workflows

• Parquet

• Iceberg

• Delta Lake

• Kafka

• IaC

Responsibilities:

• Design and build high-throughput data ingestion pipelines

• Implement secure data lake and SQL-based storage architectures

• Develop internal tools and frameworks using Python and Golang

• Collaborate cross-functionally to define data contracts and schemas

• Manage infrastructure using Terraform and AWS services

Experience Requirements:

• 6+ years of experience in building and leading engineering teams

• Knowledge of the full life-cycle of product development

• Track record of transforming enterprise technology processes

• Experience with technology operations and cloud-based technologies

• Deep hands-on technical skills

Other Requirements:

• Software, hardware, and firmware solutions

• Matrix organization

• Agile

• Linux

• Docker

Responsibilities:

• Own the overall development life cycle of the solution

• Plan project phases from idea to closure

• Develop logical solutions to business problems

• Work with product team on strategy and roadmaps

• Team with senior engineers on technical design

Education Requirements:

• M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field

• Focus on signal processing, time-series analysis, and machine learning

Experience Requirements:

• 5+ years developing signal processing and ML solutions for sensor data

• Track record of bringing at least one ML solution to market

• Deep understanding of digital signal processing (DSP) methods

• Experience with RNNs, LSTMs, and temporal convolutional networks

• Experience with physical sensors like IMUs and microphones

Other Requirements:

• PyTorch

• TensorFlow

• Keras

• FFT

• Filtering

• Activity recognition

• Anomaly detection

• Edge deployment

Responsibilities:

• Design real-time signal processing and ML pipelines

• Develop models for classification, prediction, and pattern analysis

• Research and implement RNN and temporal transformer architectures

• Collaborate with hardware and embedded teams for integration

• Optimize signal-processing techniques for model input quality

Education Requirements:

• M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related field

• Specialization in NLP or deep learning

Experience Requirements:

• 5+ years of experience in machine learning or AI

• Focus on NLP, LLMs, or conversational AI

• Experience building production grade RAG pipelines

• Fluency with prompt engineering or instruction tuning

• Deep understanding of document retrieval and vector stores

Other Requirements:

• LangChain

• LlamaIndex

• FAISS

• Weaviate

• Pinecone

• PyTorch

• Hugging Face

• LLAMA

• Mistral

• Claude

• GPT

• Agentic RAG

Responsibilities:

• Lead architecture and development of RAG systems

• Develop AI-powered assistants for industrial troubleshooting

• Build pipelines to ingest and index large document corpora

• Fine-tune foundational models for domain-specific logic

• Design evaluation strategies for system performance

Benefits:

• 4-day work week

• Flexibility at work

• Make Parenthood Matter programs

Experience Requirements:

• Senior level

Benefits:

• 4-day work week

• Flexibility at work

• Make Parenthood Matter programs

Experience Requirements:

• Senior level

• JavaScript

• React

Benefits:

• Cutting-edge research

• Real-world impact

• High autonomy

• Collaborative team

• Flexibility

Experience Requirements:

• Senior level experience

• Experience shipping ML products at scale

Responsibilities:

• Train and deploy models purpose-built for image editing

• Drive projects end-to-end, from research to deployment

• Build models for object erasing & insertion

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in IT, Engineering, Data Science or related areas

Experience Requirements:

• 5+ years of experience in Data Engineering

• Advanced mastery of SQL and dbt (modular modeling and tests)

• Experience with AWS ecosystem (S3, Glue, Athena, Redshift)

Other Requirements:

• Experience with distributed processing (Spark/Hadoop)

• Proficiency in Python, Java, or Golang

• Knowledge of Scala, SPARQL, GraphQL, and Delta Lake

• Advanced English

Responsibilities:

• Project, build, and maintain scalable and reliable data pipelines

• Automate ETL/ELT processes ensuring efficiency and quality

• Ensure data availability, integrity, and consistency

• Develop reusable components to support solution scalability

• Collaborate with Engineering, Product, and Solutions teams

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in Data Science, Statistics, Mathematics, Computing or related areas

Experience Requirements:

• Solid experience as a Senior Data Scientist or equivalent

• 3+ years of experience in industry or retail (large scale data contexts)

• Experience in market analysis, CRM, pricing, or commercial planning

Other Requirements:

• Advanced proficiency in Python and SQL

• Mastery of descriptive and inferential statistics

• Experience with BI tools (Power BI, Tableau or similar)

• Advanced English

Responsibilities:

• Analyze large volumes of data to identify patterns and business opportunities

• Translate analysis into actionable recommendations for strategy

• Partner with Sales, Solutions, and Product teams

• Build and maintain executive dashboards for decision-making

• Operationalize analytical solutions and models for client-oriented deliveries

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Education incentives

Experience Requirements:

• Proven experience in Talent Acquisition (startups or tech companies preferred)

• Experience with technical and business recruiting

• Practical experience with active sourcing strategies

Other Requirements:

• High autonomy and ownership

• Excellent communication and organization skills

• Advanced or fluent English

Responsibilities:

• Responsible for end-to-end recruitment of technical and non-technical positions

• Act as a strategic partner to the People team and leadership

• Design and execute active sourcing strategies across multiple channels

• Conduct structured interviews and behavioral/technical evaluations

• Track and analyze recruitment metrics (time-to-hire, pipeline, etc.)

Education Requirements:

• Bachelors or advanced degree in business, mathematics, or the sciences

Experience Requirements:

• Minimum of one year experience in Business Intelligence and Analytics

• Knowledge of Microsoft Dynamics CRM, KORE, Archtics, SQL, Excel, and Tableau

• Experience with Salesforce Marketing Cloud, R/Python, ETL a plus

Other Requirements:

• Excellent communication and analytical skills

• Ability to work extended hours including holidays and weekends

• Ability to work in office and arena environment

Responsibilities:

• Support the tactical administration of ticketing CRM

• Support initiatives to acquire and manage new fan data

• Establish a healthy lead universe with sales and marketing teams

• Coordinate data integration with various vendors

• Identify KPIs and methods for CRM and BI strategy

Education Requirements:

• Bachelors or foreign academic equivalent in Electrical and Computer Engineering, Computer Science, Electrical/Electronic Engineering or a related field

Experience Requirements:

• 3+ years of experience in software development positions

• 3+ years of experience working with Linux/Unix, Bash, ETL, SQL, Apache Spark, Docker and Terraform

Other Requirements:

• Design and build high-performance microservices based applications that run on AWS using Python, Linux/Unix, Bash, Docker, Terraform, and the Elastic Kubernetes Service (EKS)

• Develop data ETL processing and analytics workflows using tools like Apache Spark, Argo, and Kubernetes

• Design relational database schemas using PostgreSQL and queries using SQL and GraphQL

• Work with the Product Management team to align features with customer needs and address their problems effectively

• Build integrations with third-party APIs that enable high-value customer experiences

Responsibilities:

• Work with the Engineering team to architect and build horizontally scalable, resilient, high throughput data pipelines

• Conduct proof of concept activities with customers

• Design and build high-performance microservices based applications that run on AWS

• Develop data ETL processing and analytics workflows

• Design relational database schemas using PostgreSQL and queries using SQL and GraphQL

Benefits:

• An attractive remuneration package

• Working with cutting-edge IoT and Smart Home technologies (Matter, Thread, Wi-Fi Sensing)

Experience Requirements:

• Experience with embedded development using RTOS and Espressif’s SDK

• Understanding of networking protocols: low-level (TCP, UDP, IP) and application-level (HTTP, DNS)

• Familiarity with hardware debugging tools, such as oscilloscopes and logic analyzers

Responsibilities:

• Analyze and optimize the performance of existing test benches, implementing changes as needed to maintain efficiency and reliability.

Education Requirements:

• BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field

• MA/PhD

Experience Requirements:

• 6 years of experience (BS) or 4 years of experience (MA/PhD)

• 3+ years building production-ready ML infrastructure

Other Requirements:

• Proficiency in one or more modern programming languages such as Python, C++, or Java

• Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks

• Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

• Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform

Responsibilities:

• Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines

• Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment

• Own the end-to-end implementation of ML systems from research prototypes to production-grade code

• Optimize model training/inference, latency, and resource usage

• Develop monitoring, observability, and CI/CD tooling