H Company

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📍 France, UK, US

🧭 Full-Time

🔍 AI

  • Strong 4+ years of experience in Python backend development (Flask, Django, FastAPI or similar) and HTML5, CSS3, JavaScript, React/Redux (ideally) or similar frameworks on the front-end
  • Proven ability to design and build REST or gRPC APIs
  • In-depth experience with distributed systems or cloud computing, preferably in AWS
  • Expertise in relational and/or non-relational databases
  • Experience working with message queueing technologies (SQS/RabbitMQ/Kafka/etc.)
  • Experience with browser security and cross-browser compatibility techniques
  • Good understanding of coding standards, architectural patterns and test frameworks
  • Expertise in instrumentation, observability and monitoring
  • Experience with CI/CD pipelines, local development via Docker and build/package tooling
  • Design and implement secure, robust and scalable services via REST/gRPC
  • Handle database interactions, including schema design, querying, and optimization
  • Integrate third-party APIs and services
  • Implement integration and end-to-end tests to ensure code quality
  • Develop responsive web interfaces and connect them to backend APIs
  • Set up and maintain continuous integration and deployment workflows
  • Ensure application reliability via logging/monitoring/alerting
  • Follow best practices to avoid vulnerabilities and adhere to industry standards

AWSBackend DevelopmentDockerPostgreSQLPythonSQLDjangoFlaskFrontend DevelopmentHTMLCSSJavascriptReact.jsAPI testingFastAPIgRPCREST APIReduxReactCI/CD

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📍 France, UK, US

🧭 Full-Time

🔍 AI

  • Strong programming skills (Python, Git)
  • Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)
  • Experience with large-scale distributed training of LLMs and VLMs
  • Hands-on experience with LLM training, alignment, and reinforcement learning
  • Knowledge of multimodal architectures and applications
  • Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
  • Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
  • Develop and train advanced LLMs and VLMs, including multimodal architectures
  • Research and implement training methods for enhanced capabilities like instruction following and tool use
  • Design and optimize data pipelines and training systems for large-scale distributed training
  • Collaborate with cross-functional teams to integrate models into agentic AI systems
  • Evaluate model performance and communicate findings to stakeholders
  • Stay current with advancements in LLMs, VLMs, and related fields

PythonGitMachine LearningPyTorchAlgorithmsData StructuresTensorflowResearch skills

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📍 France, UK, US

🧭 Full-Time

🔍 AI

  • Proficient in Python, Git, Docker
  • Containerization and Orchestration
  • Debugging and Problem-Solving
  • Expertise in debugging issues with code and Linux
  • Deep familiarity with AWS services
  • Skilled in Observability and Monitoring tools and practices
  • Adept in setting up and managing CI/CD pipelines
  • Experienced in Incident Response protocols and best practices
  • Design and manage the infrastructure required by H’s engineers and researchers
  • Collaborate with other teams to ensure they have the optimal infrastructure for their role
  • Leverage automation to multiply your impact and help other teams
  • Develop tools and solutions aimed at increasing the efficiency of other teams
  • Deploy and scale applications in the cloud

AWSDockerPythonGitCI/CDLinuxDebugging

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📍 France, UK, US

🧭 Full-Time

🔍 AI

  • MS or PhD in Computer Science, Machine Learning or related fields
  • Proficient in at least one of the following programming languages: Python, Rust or C/C++
  • Experience in GPU programming such as CUDA, Open AI Triton, Metal, etc.
  • Experience in model compression and quantization techniques
  • Develop scalable, low-latency and cost effective inference pipelines
  • Optimize model performance: memory usage, throughput, and latency, using advanced techniques like distributed computing, model compression, quantization and caching mechanisms
  • Develop specialized GPU kernels for performance-critical tasks like attention mechanisms, matrix multiplications, etc.
  • Collaborate with H research teams on model architectures to enhance efficiency during inference
  • Review state-of-the-art papers to improve memory usage, throughput and latency (Flash attention, Paged Attention, Continuous batching, etc.)
  • Prioritize and implement state-of-the-art inference techniques

PythonMachine LearningAlgorithmsRust

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📍 France, UK, US

🧭 Full-Time

🔍 AI

  • MS or PhD in Computer Science, Machine Learning or related fields
  • Proficient in Python
  • Significant experience in web development
  • Collaborate with other teams to gather the needs in terms of environments to build
  • Create benchmarks that reflect the problems agent face
  • Define metrics that match business use cases
  • Gather insights from benchmark to define the critical ameliorations to bring to the LLMs and agents

PythonData AnalysisMachine LearningAlgorithmsData StructuresRESTful APIs

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📍 France, UK, US

🧭 Full-Time

🔍 AI

  • Strong, polyvalent programming skills in Python covering parallel computing, system design, large-scale deployments, AWS deployments and model evaluations
  • Experience developing and maintaining multimodal data pipelines
  • Experience in training and deploying LLMs, VLMs or Pytorch models
  • MSc or PhD in machine learning, computer vision, natural language processing, or a related field
  • Deep understanding of training and evaluation paradigms for multimodal models
  • Develop and implement cutting-edge data strategies to improve the performance, efficiency, and applicability of LLMs, VLMs and Action Models
  • Generate and augment synthetic multimodal datasets, including images, text, and action trajectories, to advance model capabilities in areas like VQA, agent behaviors, and virtual navigation
  • Apply model distillation techniques to optimize large-scale models for edge deployment, ensuring scalability without compromising performance
  • Design and iterate on evaluation frameworks to target edge cases and measure model improvements across multiple domains
  • Lead research into aligning data with human and AI preferences, implementing feedback loops to refine agent decision-making and learning behaviors
  • Collaborate effectively with cross-functional teams to integrate data-driven solutions into LLM, VLM and Agent systems
  • Stay at the forefront of breakthroughs in AI data strategies, model distillation, and multimodal learning through active scientific exploration

AWSPythonCloud ComputingData AnalysisMachine LearningPyTorchData scienceData StructuresRESTful APIsResearch skillsData modelingScripting

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🔥 Finance Manager
Posted 2 days ago

📍 France, UK, US

🧭 Full-Time

  • At least 4 years of experience, ideally in a startup, SME, or a consulting/audit firm (e.g., Big 4)
  • Advanced proficiency in Excel and financial tools
  • Solid knowledge of accounting and treasury management
  • Fluent English is mandatory
  • Autonomous, detail-oriented, and proactive
  • Analytical mindset with the ability to move seamlessly between strategy and execution
  • Excellent interpersonal skills to work with diverse stakeholders (internal and external)
  • Team player with the ability to collaborate effectively across departments
  • Proactive and results-oriented attitude and a strong level of curiosity
  • Demonstrated ability to thrive in a fast-paced start-up environment
  • Prepare and analyze monthly financial reports (P&L, Balance Sheet, Cash Flow) to identify variances and recommend corrective actions
  • Lead the annual budgeting process and rolling forecasts in collaboration with operational teams
  • Develop dashboards and KPI tracking tools to drive informed decision-making
  • Oversee and verify day-to-day expenses and payroll processes in coordination with HR and finance tools
  • Manage client and supplier invoices, ensuring optimal debt collection strategies
  • Negotiate with suppliers to optimize costs and maintain positive relationships
  • Contribute to monthly financial closings by accounting for provisions, depreciation, and other journal entries
  • Act as the primary contact for accountants, auditors, and legal advisors
  • Ensure the quality and compliance of accounting data for internal and external audits
  • Monitor and optimize cash flow and financial transactions
  • Prepare documentation for financing operations (equity, loans, grants) and manage related processes (data rooms, etc.)
  • Identify and implement initiatives to automate reporting and streamline financial processes
  • Provide innovative solutions to simplify and secure financial operations

Financial ManagementMicrosoft ExcelAccountingReportingBudgetingData visualizationFinancial analysisBudget management

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