Our mission
Who are we if not the sum of our memories? Isn’t what we call experience simply the memory of our past? What is death but the loss of all our memories?
Biological evolution is too slow compared with our environment, and our memory is now limited when faced with the mass of information available. We need to take matters into our own hands to overcome our limitations.
At Episodic we're building a personal artificial memory system that brings all the memories needed for creative, innovative people. Through our brand-new type software using machine and deep learning and a revolutionary organization of data in an intuitive and comprehensive interface.
Let’s build the superconscious minds of tomorrow.
What are we looking for?
As a ML & DevOps Engineer at Episodic you must have the following :
Values :
- The most important things for us is that you are a highly driven person. We are only looking for people who show personal motivation, that blossom through challenges.
- You must be obsessed by the need to be useful and to have a beneficial impact on the world.
- You have to be curious and show a strong passion for what you do (in all aspects of your life).
- Be honest and accept a mode of communication based on radical transparency, where the mission comes before egos.
All of the above must be evident when looking at your background.
Aptitudes :
Smart, able to quickly and deeply understand problems or situationsLearning capacities, master quickly unfamiliar knowledgeAbility to focus, get intensely immersed in subjects and get sht doneAll of the above must be evident when looking at your background.
Skills :
A minimum of 3 years of full-time experience in machine learning and / or deep learning.Strong software engineering skills (API development, programming languages versatility).Passion for AI, with a constant drive to stay ahead of the curve and up to date on state-of-the-art developments.MS or PhD in Computer Science, Engineering, or a related technical field.Experience building LLM applications or RAG products using Python.Experience in knowledge graphs.Experience in speech-to-text & NLP.Ability to architect high-performance, scalable, and secure systems.End-to-end pipeline ownership – from data ingestion to model deployment.CI / CD pipelines for ML (Kubeflow, MLflow, Argo Workflows, Jenkins, GitHub Actions, etc.).Containerization & orchestration (Docker, Kubernetes, serverless architectures).Scalability & observability (monitoring / logging with Prometheus, Grafana, Datadog, etc.).Model serving & optimization (TorchServe, Triton Inference Server, FastAPI, etc.).Built several production-grade ML pipelines from scratch, integrating models, databases, and hosting.Exceptional problem-solving, analytical skills, and the ability to tackle complex problems with a critical thinking approach.Experience processing and managing large datasets efficiently.Self-starter mentality with the ability to thrive in a fast-paced, unstructured environment.Ability to communicate and collaborate effectively with other team members.All of the above must be evident when looking at your background.
As an ML & DevOps Engineer at Episodic, you will :
Own the full end-to-end ML pipeline, from data ingestion, training, and validation to deployment and monitoring in production.Develop and scale infrastructure to support high-performance AI applications.Design, implement, and optimize MLOps pipelines for automated training, testing, and deployment.Ensure model reliability and scalability through effective monitoring, logging, and observability solutions.Architect and maintain cloud infrastructure for AI workloads using AWS / GCP / Azure.Develop AI features, including natural language processing (NLP), LLM, RAG, Graph, speech-to-text and APIs.Implement security best practices in model deployment and data handling.Serve as an engineer, writing clean, scalable, and efficient code across the stack.Design and implement AI-driven features, full-stack applications, and core systems, starting from the MVP.Continuously evaluate emerging AI and MLOps technologies to keep the company at the cutting edge of innovation.Collaborate closely with the team to align the technical roadmap with the product vision.Foster a culture of innovation, technical excellence, and continuous improvement.Benefits :
Join us in shaping the future! As an early team member, you’ll have the unique opportunity to define how people interact with technology, directly influencing a product that will grow and evolve into something truly groundbreaking.
We are a passionate and driven team, pushing boundaries and continuously exploring fascinating challenges. You won’t just be another cog in the machine—you’ll own features from start to finish, seeing your work make a real impact.
With equity compensation, you’ll share in the success you help build, and as we scale, you’ll benefit from an exciting career trajectory with rapid growth opportunities.
Location : On-site, Palo Alto.
Contact :
contact@episodic.tech
