Member of Technical Staff, Infrastructure Engineer
150k - 250k USD
Hybrid
Full Time
#Engineering
#Artificial Intelligence
#Infrastructure
#Azure
#AWS
#GCP
#System Monitoring
#Datadog
#Splunk
#Docker
#Kubernetes
#Python
What We're Building
As Inflection embarks on a new stage of growth, we are focusing on collaborating with commercial partners to adapt and fine-tune our cutting-edge models for their unique business requirements. Our accomplishments in developing, aligning, and deploying state-of-the-art models in our high EQ consumer-facing chatbot, Pi, have established a strong foundation for success. Well-funded and equipped with ample H100 resources, we have built a robust infrastructure and efficient processes to support best-in-class finetuning. By joining our team, you'll have the opportunity to contribute your expertise while being part of a dynamic organization that values innovation and collaboration.
About Inflection
Inflection is a small, interdisciplinary AI studio. We have trained several state-of-the-art language models, including Inflection 1 and Inflection 2.5, and built a personal assistant named Pi. As a studio, we are currently focused on finetuning and deploying models for specific use cases for our commercial partners.
We believe that artificial intelligence represents the beginning of an era of exponential change. Our name Inflection embraces this moment of transformation, whilst our status as a public benefit corporation provides us with the legal mandate to prioritize the well-being and happiness of our partners, users, and wider stakeholders above all else.
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.
- 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.
- 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.
- 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.
- Experience with containerization and orchestration: Familiarity with technologies such as Docker and Kubernetes, and experience deploying, managing, and scaling containerized applications.
- Proficient in infrastructure as code (IaC): Experience using tools like Terraform, CloudFormation, or Ansible to provision and manage infrastructure resources.
- 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.
- 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.
How We Work
We value excellence and ownership. Our organizational structure focuses on individual responsibilities rather than management hierarchies. Everyone is expected to lead by doing. We are big believers in the unreasonable effectiveness of highly talented Individual Contributors who are given all the resources, space and ownership to move fast and deliver outstanding results.
Teamwork and generosity are at our core. Our culture celebrates positive challenges, asking questions, learning and actively supporting one another. This mentality of shared respect and purposeful teamwork is key to our success. We equally value all technical and non-technical contributions.
Constructive disagreement is essential. We appreciate when team members challenge assumptions, put forward new ideas, or encourage us to move faster or slower. Openness, honesty and kindness make us great.
Feedback is our ground truth. We have a tight feedback loop between the user experience and our AI creation process. Quantitative and qualitative data drives our priorities. This goes for internal culture too. Everyone has ownership and visibility into key decisions and progress.
Writing creates accountability. Whether on internal communication tools or in team memos, we are strong communicators with a special focus on the written word.
We deeply value time to reset outside of work. We encourage one another to constantly take time to recharge and always focus on maintaining a healthy work-life balance.
Engineering at Inflection
We are a vertically integrated AI studio. This means that our entire technology stack – from large foundational model pre-training to the user interface – is built in-house, with each of the components co-optimized to deliver the best AI experiences. We have built one of the most advanced large language models in the world, based on multiple novel and proprietary innovations.
We believe in scale as the engine of progress in AI, and we are building one of the largest supercomputers in the world to develop and deploy the new generation of AIs.
We wear multiple hats and don’t distinguish between engineering and research. We continuously explore and exploit, creating new and perfecting existing techniques and solutions. User feedback is our North Star.
Our Benefits
We offer generous benefits to ensure a positive, safe, inclusive and inspiring work environment for all Inflectioneers.
- Unlimited paid time off
- Parental leave and flexibility for all parents and caregivers
- Generous medical, dental and vision plans for US employees
- Compliance with country-specific benefits for non-US employees
- Visa sponsorship for new hires
- Avenues for personal growth such as coaching, conference attendance, or specific trainings
Diversity & Inclusion
We are building personal AIs that we hope will serve everyone. We are deeply committed to representing the full extent of the human experience inside our AI Studio. This means that everyone from any walk of life is welcome if you have the right skills. We populate diverse candidate pools for all open roles.
