Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

You will be one of Engram’s first software engineers, joining a team of machine learning researchers and performance engineers in building our personalization and continual learning API. This role focuses on architecting and implementing the data infrastructure for our service, including designing secure data storage, developing performant data ingestion systems, building data observability, and creating reliable integrations with customer APIs. You will be a key architect of the system, collaborating with researchers, performance engineers, and customers. This is a founding hire role where you will set the standard for engineering practices, including code review, testing, on-call procedures, and security. You will also contribute to building the engineering team and shaping our engineering culture.

Responsibilities

Designing a secure data storage architecture for raw user context and per-user model weights
Developing performant systems for ingesting and preprocessing data on a regular basis for continual training
Building data observability for quality control and reproducibility
Reliable integrations with customer APIs and other data sources
Setting the bar for engineering at Engram: code review, testing, on-call, and a security posture
Helping build the engineering team around you and influencing our engineering culture as we scale

Requirements

5+ years of software engineering experience, building and scaling systems in a high-stakes environment
Experience building APIs or infrastructure that other developers consume: SDKs, multi-tenant platforms, developer tooling
Taken a successful product or open-source project from zero to one
Product-driven and enjoy working across the stack
Worked somewhere with a rigorous engineering culture, where security and reliability are top priorities
Background working with ML teams and familiarity with the modern ML serving and training stack (Bonus)
Prior early-stage experience (Bonus)

Location

San Francisco, CA

Work Type

In-person
Full-time

Experience Level

5+ years

Salary/Compensations

Competitive cash compensation
Startup equity

About the Company

Engram trains models to study user context and anticipate questions, forming compact memories called engrams. Their approach enables scaling by improving inference time based on training context. They are working with leaders like Microsoft, Notion, and Harvey, and have raised $98M from prominent investors. Their investors and advisors include Assaf Rappaport, Andrej Karpathy, and Pieter Abbeel. Their mission is for AI to learn about users' work and history.

Equal Opportunity

Engram is an equal opportunity employer. We’re building a team that reflects a range of backgrounds and perspectives, and we welcome applicants regardless of race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, or veteran status.