Cloud Infrastructure Engineer, Scale AI

GenAI Platform

$160-225.6k

Scale employees in eligible roles are also granted equity based compensation

AWS

Docker

Kubernetes

GCP

Python

Terraform

Azure

Mid and Senior level

New York

San Francisco Bay Area

Training and validation data for AI applications

Job no longer available

Training and validation data for AI applications

1001+ employees

B2BArtificial IntelligenceDeep TechRoboticsComputer VisionMachine LearningSaaS

Job no longer available

$160-225.6k

Scale employees in eligible roles are also granted equity based compensation

AWS

Docker

Kubernetes

GCP

Python

Terraform

Azure

Mid and Senior level

New York

San Francisco Bay Area

1001+ employees

B2BArtificial IntelligenceDeep TechRoboticsComputer VisionMachine LearningSaaS

Company mission

To develop reliable AI systems for the world's most important decisions.

Job

Company

Role

Who you are

Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. in multiple clouds
Strong experience with orchestration platforms, such as Temporal and AWS Step Functions
4+ years of full-time engineering experience post-graduation
Extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and software development best practices
Proven experience scaling products, particularly in hyper-growth startup environments
Proficiency in Python and Terraform
In-depth experience with Kubernetes for container orchestration
Familiarity with major cloud providers, especially AWS, with a preference for exposure to Azure and GCP

What the job involves

We are seeking an experienced engineer to join our team and play a pivotal role in building pipelines and infrastructure to help deploy our software in a maintainable and efficient way
The ideal candidate will possess a deep understanding of cloud technologies, specifically Terraform, Kubernetes, and cloud infrastructure deployment practices
You will be responsible for establishing a robust multi-cloud deployment infrastructure, with a focus on AWS and a preference for experience with Azure and GCP
Drive the architecture, design, implementation and support of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements
Design and implement cloud infrastructure using Terraform
Work directly with customers to deploy infrastructure into their cloud environments
Set up a multi-cloud deployment infrastructure to facilitate the shipment of services into diverse customer environments
Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders

Our take

When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.

It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. So, by positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.

With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

31% female employees

38% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 7 rounds)

May 2024

$1bn

SERIES F

Apr 2021

$325m

SERIES E

Total funding: $1.6bn

Company benefits

Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

Company HQ

Rincon Hill, San Francisco, CA

Leadership

Alexandr Wang

(Founder & CEO)

Previously, Alexandr was an Algorithm Developer at Hudson River Trading, a Tech Lead and Quora and a Software Engineer at Addepar.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 102 more jobs at Scale AI