Senior Backend Software Engineer

Posted 19 Days Ago
Hiring Remotely in San Francisco, CA
Remote
3-5 Years Experience
Artificial Intelligence • Software
The Role
Seeking a Search & Discovery Engineer to improve search quality and knowledge discovery at Mem. Responsibilities include managing information retrieval systems, experimenting with state-of-the-art techniques, and inventing new strategies for dynamic browse experiences. Ideal candidates have experience in backend engineering, systems thinking, and strong communication skills.
Summary Generated by Built In

Location

Remote, but 10am - 4pm PST overlap with PST hours is required.

Overview

At Mem, we are pioneers in the space of personal and proactive intelligence. We're seeking a Senior Backend Software Engineer to help us deliver on our mission of augmenting human intelligence by inventing and implementing core backend and AI capabilities—from high-volume data processing pipelines, to our semantic search engine, to real-time recommendation systems, and more. We are looking for someone who is eager to shape this evolving field and define the way humanity engages with AI on a daily basis. If you are someone who is creative and attentive to detail with a passion for helping people turn their digital information into high-leverage knowledge, we’re eager to meet you. 

As a Senior Backend Software Engineer, you will

  • Report directly to our CEO and work closely with our Founding Engineer, Lead UX Designer, and CEO to architect and build backend systems that integrate state-of-the-art artificial intelligence to enable intelligence in our product. 
  • Build the backend for user-facing features that enable integrated, context-aware, and proactive personal knowledge assistance. 
  • Tackle challenging backend problems from end-to-end, such as local-first sync, collaborative rich text editing, data ingestion and processing, real-time recommendation, and LLM-augmented information indexing, retrieval, and discovery.
  • Develop and implement backend services and APIs.
  • Design, build, and maintain highly scalable, highly available systems.
  • Improve observability, monitoring, and alerting so that we can more effectively respond to operational incidents. 

You may be a good fit if you

  • Have prior experience in complex engineering environments.
  • Are a self-starter with the ability to work independently and solve complex problems. Prior founder or startup experience is a plus.
  • Are open-minded to using state-of-the-art tools. 
  • Are well-versed in systems thinking.
  • Take pride in working on projects from conception to successful completion involving a wide range of systems, processes, and technologies. 
  • Have a meticulous eye for detail.
  • Thrive in ambiguity. 
  • Enjoy greenfield problems. 
  • Love making the impossible possible. 

Tech

  • Django, Python, and OpenAPI
  • Postgres and Redis
  • Search and data pipelines built with OpenAI, Cohere, Elasticsearch, Pinecone, PubSub, Apache Beam, and Temporal
  • TipTap (Prosemirror) Editor with Yjs
  • Local-first data synchronization system
  • Hosted on the Google Cloud Platform
  • CI/CD with GitHub Actions, Docker, Terraform, Google Cloud Run
  • Monitoring via Datadog

What we offer 

  • Interesting and challenging work at the frontier of AI 
  • Competitive salary and equity 
  • Work-life balance
  • Work remotely, no commuting to the office
  • 21 days paid vacation
  • Company-sponsored team retreats, events, and meals
  • Comprehensive health benefits, including medical, dental, vision, mental health, and monthly wellness stipend
  • M1 Macbook Pro, 4K display, accessories, and a monthly AI stipend to explore new tools
  • Comprehensive family benefits, including 16 weeks paid family leave and support for IVF, egg freezing, adoption, and childcare

Learn how we think and work

  • Why We Started Mem
  • Article by The Verge on how we’re building your own personal Google
  • Blog by The OpenAI Startup Fund introducing their first investments
  • Deep-dive into the technology behind our similar notes feature

Top Skills

Elasticsearch
Machine Learning
The Company
HQ: Los Altos Hills, California
27 Employees
On-site Workplace
Year Founded: 2019

What We Do

Your AI knowledge assistant.

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