About the role

Primary Responsibility - Office Management

Facility Operations & Security
- Manage daily office operations (8:00 AM-4:00 PM), including opening/closing procedures at our office in San Francisco (Mission neighborhood).
- Oversee security systems, video surveillance, and physical keys
- Handle emergency responses (alarms, maintenance issues)
- Maintain indoor/outdoor plants and general office appearance
- Coordinate waste management and mail services
Vendor & Resource Management
- Oversee relationships with cleaning, maintenance, and service providers
- Manage office supply inventory and procurement
- Coordinate facility repairs and improvements with landlord/vendors
- Monitor and process utility/vendor payments
- Maintain IT infrastructure and meeting spaces
Food Service & Hospitality
- Plan and execute daily lunch program (prep, service, cleanup)
- Manage catering for special events and Community Lunch
- Maintain snack and beverage inventory
- Oversee grocery ordering and kitchen operations
Community & Guest Relations
- Conduct new employee and coworking member orientations
- Manage visitor protocols and reception duties
- Support landlord VC firm needs
- Coordinate desk setup and onboarding for new employees
- Maintain positive relationships with office community members

Secondary Responsibilities - Event Coordinator and Scheduling

Work with Community Lead on in-office events for the following. Note that most events we do today are small (<50 people)
- Manage comms around getting to the space, pick up/drop off is tricky because of residential neighborhood.
- Help organize food/drinks/rentals/security as needed
Help manage high priority scheduling and travel for our CEO Ben
- Note that this does not entail full EA responsibilities. Scheduling refers to high priority activities like board meetings vs. day to day meetings. Ben travels ~1 time a quarter on average currently.

About Replicate

What we're doing

Machine learning can now do some extraordinary things: it can understand the world, drive cars, write code, make art.

But, it is still extremely hard to use. Research is typically published as a PDF, with scraps of code on GitHub and weights on Google Drive (if you’re lucky!). It is near-impossible to take that work and apply it to a real-world problem, unless you are an expert.

We’re making machine learning accessible to everyone. People creating machine learning models should be able to share them in a way that other people can use, and people who want to use machine learning should be able to do it without getting a PhD.

With great power also comes great responsibility. We believe that with better tools and safeguards, we will make this powerful technology safer and easier to understand.

How we work

We're a bunch of hackers, engineers, researchers, and artists.

We obsess about the details of API design and the right words for things. We're defining how AI works so we'd better get it right.

We make fast and reliable infrastructure. That's what a good infrastructure product is. We're not afraid to build things from scratch to make it the fastest.

We use AI for work. We use AI for play. We find unexplored parts of the map and create new techniques ourselves. We open-source it all.

We build in public, for the community. We want AI to work like open-source software so everyone benefits from it.

We're led by engineers. We all write code. (Or, we get ChatGPT to help.) There aren’t any meetings about meetings.

We've worked at places like Docker, Dropbox, GitHub, Heroku, NVIDIA, Scale AI, and Spotify. We've created technologies like Docker Compose and OpenAPI.

We're here to build a big company. We're ambitious and hard-working. We're not here to just build nice things.

Replicate