Infrastructure Software Engineer, Scale AI

Enterprise GenAI

$216.2-270.3k

Offers equity

SQL

AWS

Kubernetes

TypeScript

GCP

JavaScript

Python

Azure

Mid and Senior level

New York

San Francisco Bay Area

Training and validation data for AI applications

Be an early applicant

Training and validation data for AI applications

1001+ employees

B2BArtificial IntelligenceDeep TechRoboticsComputer VisionMachine LearningSaaS

Be an early applicant

$216.2-270.3k

Offers equity

SQL

AWS

Kubernetes

TypeScript

GCP

JavaScript

Python

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

The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems
4+ years of full-time engineering experience, post-graduation
Experience scaling products at hyper growth startups
Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
Proficient in Python or Javascript/Typescript, and SQL
Experience with Kubernetes
Experience with major cloud providers (AWS, Azure, GCP)
Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences

What the job involves

We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment
You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail
Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs
Deliver experiments at a high velocity and level of quality to engage our customers
Work across the entire product lifecycle from conceptualization through production
Be able, and willing, to multi-task and learn new technologies quickly

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

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