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 Founding ML & Backend 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.
Aptitudes:
- Smart, able to quickly and deeply understand problems or situations
- Learning capacities, master quickly unfamiliar knowledge
- Ability to focus, get intensely immersed in subjects and get sh t done
Skills:
- A minimum of 3 years of experience in ML or data intensive pipelines.
- MS, PhD, self taught in Computer Science, Engineering, or a related technical field.
- Experience building LLM applications or RAG products using Python.
- Experience in Knowledge Graphs, Vectors (Weaviate, Pinecone, FAISS), Speech-To-Text & NLP.
- CI/CD pipelines for ML (GitHub Actions, etc.).
- Containerization & orchestration (Docker, serverless architectures).
- Model deployment and monitoring (Vertex AI, Sagemaker)
- Built several production-grade ML pipelines from scratch, integrating models, databases, and hosting.
- Experience optimizing retrieval and ranking systems (embeddings, BM25, indexes).
- Experience processing and managing large datasets efficiently, ETL pipelines.
- Cloud experience with AWS & GCP, including Firebase Bucket Storage, S3, Neo4j, Supabase.
- Ability to architect high-performance, scalable, and secure systems.
- End-to-end pipeline ownership - from data ingestion to model deployment.
- Passion for AI, with a constant drive to stay ahead of the curve and up to date on state-of-the-art developments.
- 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.
As an ML & DevOps Engineer at Episodic, you will:
- Own and build the full end-to-end ML pipeline, from data ingestion to model deployment.
- Develop and maintain scalable infrastructure for high-performance AI applications on AWS/GCP.
- Design and implement AI features (NLP, LLM, RAG, knowledge graphs, STT) starting from the MVP.
- Architect and implement the core retrieval system, combining vector search, graph-based navigation, structured indexing, metadata enrichment, and advanced re-ranking techniques.
- Build robust pipelines to ingest user data, including parsing and processing audio streams, performing speaker diarization, identifying speakers, and transcribing content using cutting-edge STT models.
- Ensure security best practices in data handling, security, model deployment, and prompt engineering.
- Stay up to date with emerging AI and MLOps tools to drive technical innovation.
- Help shape a culture of technical excellence, rapid iteration, 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 cash + 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: