Top Remote Jobs in Lyon

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Provide high-level administrative support to a CEO of multiple early-stage tech startups: manage complex calendars across time zones, handle email, coordinate meetings and projects, maintain shared documents, track tasks and deadlines, assist with personal scheduling, streamline communication, and implement AI-driven workflow improvements.

Build and iterate AI systems spanning computer vision, image manipulation, video generation, and agentic data analysis. Own the full pipeline from model research and API integration through scalable web application deployment. Develop rapid MVPs using AI-assisted tools, orchestrate multiple models into autonomous workflows, and test solutions in e-commerce operations before scaling them into SaaS products.

Own product positioning, messaging, launches, customer feedback loops, case studies, sales materials, and cross-sell campaigns for an AI-powered B2B SaaS platform. Build the product marketing function from scratch, partner closely with Product, Sales, Customer Success, Growth, and leadership, and measure adoption, pipeline, and expansion outcomes. Maintain the company’s internal product knowledge base and serve as the product’s public-facing marketing representative.

Owns diagnosis and resolution of complex customer issues across a distributed database platform. Responsibilities include SQL and query performance troubleshooting, Linux administration, customer onboarding and deployments, managed database monitoring, root-cause analysis, documentation, technical escalation, and collaboration with Engineering. The role provides customer support through tickets, email, and phone, participates in on-call rotations, and uses AI-assisted troubleshooting.

Lead design and implementation of a production-grade LLM inference platform: deploy and serve models on GPU infrastructure, optimize latency and cost with quantization/batching/caching/routing, build infrastructure in Python or Golang, operate serving frameworks (vLLM, SGLang, TensorRT-LLM), and own the inference roadmap working with CTO and Product.

Create high-impact static and animated assets for paid ads and social platforms. Produce motion graphics and edited video, collaborate with marketing to optimize creatives via A/B testing and metrics, adapt content for Meta, TikTok, Snapchat, and work cross-functionally in a fast-paced, performance-driven environment.

Supports Sales Engineers throughout the sales process by developing bills of materials, network and wireless system designs, estimates, proposals, and customer-focused solutions. Coordinates project activities, site walks, surveys, meetings, and presentations while maintaining accurate drawings, records, and documentation. Collaborates with Sales, Operations, customers, vendors, and internal stakeholders to ensure solutions meet requirements and company standards.

Design, build, and operate distributed backend systems in Rust; develop scalable ingestion pipelines, optimize columnar storage on object storage at petabyte scale, and manage Kubernetes clusters across AWS, Azure, and GCP. The role also involves building automation for provisioning, monitoring, scaling, and maintaining managed customer clusters.

Designs, operates, and improves highly available cloud infrastructure for blockchain services across AWS, GCP, and Azure. Responsibilities include managing Kubernetes clusters and autoscaling with Karpenter, building Terraform infrastructure, developing CI/CD pipelines, operating Kafka, Redis, and NGINX, automating with Golang and Python, and improving observability, reliability, security, and disaster recovery. The role also involves production troubleshooting, incident response, on-call participation, and collaboration with software engineering teams.