The Bot Company Logo

The Bot Company

ML Infra - Data Infrastructure

Reposted 2 Months Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
200K-350K Annually
Mid level
In-Office
San Francisco, CA, USA
200K-350K Annually
Mid level
As a Data Infrastructure Engineer, you will create large-scale data processing systems, ensuring efficient data flow and collaborating with teams to tackle infrastructure challenges.
The summary above was generated by AI
The Bot Company

We're building a helpful robot for every home.

We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.

Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.

What we look for in all candidates

All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:

  • Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.

  • Engineering curiosity: you naturally dig into how systems work, even outside your specialty.

  • High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.

Data Infrastructure Engineer

As an expert in building large-scale data processing systems, you will build the foundation of how our data flows from acquisition to being used to improve the autonomous capabilities of our robots

Requirements
  • Strong coding ability, with exceptional familiarity with Python, Go, and/or C++.

  • Strong experience building and maintaining production systems that process PBs of data on thousands of machines.

  • Experience with cloud networking (performance, reliability, scale, and security).

  • Experience serving ML models at scale is a plus, but not required.

  • Strong knowledge in Kubernetes clusters is a plus.

What You’ll Do
  • Design, build, and maintain large-scale data processing systems.

  • Collaborate with other functions (e.g. ML, Platform, etc).

  • Independently triage and solve complex infrastructure problems across our stack.

Why Join

You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.

Similar Jobs

17 Minutes Ago
Hybrid
27-29 Hourly
Internship
27-29 Hourly
Internship
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
An 11-week Surety Underwriting Intern role supporting financial analysis, risk assessment, underwriting decisions, and relationship management. The intern will learn how surety bonds support businesses and infrastructure projects while participating in training, mentorship, job shadowing, professional development, and the AFSB curriculum.
An Hour Ago
Remote or Hybrid
USA
38K-75K Annually
Mid level
38K-75K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
Provide high-volume, phone-based technical support and first-line resolution for hardware, software, networking and access issues. Log and track incidents in ServiceNow/ITSM, escalate complex problems, suggest process improvements, and maintain security and confidentiality while working from an approved remote workspace on a set evening/weekend schedule.
Top Skills: Call Center TechnologiesItsmPhone SystemsServicenowTicketing Systems
An Hour Ago
Remote or Hybrid
USA
41K-83K Annually
Mid level
41K-83K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
Provides enterprise technology support through phone, ticketing, and potentially chat channels. Troubleshoots hardware, software, network, access, and application issues; manages incidents and escalations; documents resolutions in ServiceNow or similar ITSM tools; analyzes trends and operations data; supports knowledge management, training, process improvement, and automation; and coaches junior analysts while maintaining customer service, security, and confidentiality standards.
Top Skills: Call Center TechnologiesHardware InfrastructureItsmNetworkingServicenow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account