Member of Technical Staff, Infrastructure Engineer

About the Role

Training world class LLMs and serving Pi at scale requires a world class infrastructure and team. Our work in pre-training, fine-tuning, and evaluation, as well as our product require reliable and scalable infrastructure to meet the needs of Pi’s large user base. Infrastructure Engineers at Inflection have infrastructure-as-code and automation-first mindsets and are always willing to jump in to debug a problem or patch an issue in production. 

This is a good role for you if you:

• Have experience with a diverse range of infrastructures, including Azure, AWS, GCP, and bare metal
• Have experience with ML frameworks and infrastructure
• Enjoy wearing multiple hats and excited to dive into a wide variety of technical challenges
• Like working in a fast-paced startup environment with novel and challenging problems
• Have experience with system monitoring and observability tooling like DataDog or Splunk
• Have experience with container orchestration using Docker and Kubernetes
• Have extensive experience building applications using technologies such as Python, Redis, and Postgres

We do not require a specific university degree or years of experience. Instead, we’re excited to see what you’ve been building. Please send us examples of your best work, including but not limited to links to open source contributions, personal projects or a cover letter describing past projects that you are proud of.

What is Pi’s Take?

Here’s what Pi said about the ideal candidate after we asked.

1. Strong technical background: A degree in Computer Science, Computer Engineering, or a related field, with a solid understanding of computer systems, networking, and distributed systems.
2. Proficient in coding and scripting: Strong programming skills in at least one major language (e.g., Python, Go, or Java) and experience with scripting languages (e.g., Bash or PowerShell) for automation.
3. Knowledge of cloud technologies: Hands-on experience with major cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and their associated services.
4. Experience with containerization and orchestration: Familiarity with technologies such as Docker and Kubernetes, and experience deploying, managing, and scaling containerized applications.
5. Proficient in infrastructure as code (IaC): Experience using tools like Terraform, CloudFormation, or Ansible to provision and manage infrastructure resources.
6. Strong understanding of system monitoring and logging: Knowledge of tools like Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, and Kibana), or Splunk for system monitoring, log aggregation, and analysis.
7. Experience with DevOps practices: Knowledge of continuous integration and deployment (CI/CD) pipelines, version control systems (e.g., Git), and agile methodologies.

Employee Pay Disclosures

At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary will fall in the range of approximately $150,000 - $250,000. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range.

Where We Work

We have offices in Palo Alto and London. We’re currently hiring into our brand new office in Palo Alto. We’re in the office on Tuesdays, Wednesdays, and Thursdays (and some of us are in five days a week). Inflection believes in building a strong in-person work culture with the flexibility of focus time at home.

We work on a 6 week cycle. Every 7th week, we convene together in person as a company to brainstorm, bond and build.