Software Engineer, Scale AI
Infrastructure, International Public Sector
Training and validation data for AI applications
Open for applications
Training and validation data for AI applications
1001+ employees
Open for applications
1001+ employees
Company mission
To accelerate the development of AI applications.
Role
Who you are
- A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
- 3+ years of post-graduation engineering experience, with a focus on back-end systems
- Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred)
- Track record of independent ownership of successful engineering projects
- Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions)
- Solid foundation and real-world experience in network engineering
Desirable
- Experience working cross functionally with operations
- Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
- Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)
- Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
- Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
- Experience with hybrid or on-prem systems
- Experience with orchestration platforms, such as Temporal and AWS Step Functions
What the job involves
- As a Software Engineer (Infrastructure), you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure
- Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components
- Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs
- Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments
- Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability
- Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers
Salary benchmarks
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. 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
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health, Dental & Vision Coverage: Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options
- Easy to use 401(K): Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings
- Wellness Fund: We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more
- Virtual Social Activities: Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships
- Learning & Development: We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey
- Flexible Work Hours: Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule
- Generous Paid Time Off: Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed
- Commuter Benefits: Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute
- Parental Leave: 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
Alexander Wang
(CEO)Dropped out of a bachelors degree at MiT in Computer Science and Mathematics. Previously worked for 2 years as a Software Engineer and Algorithm Developer in the finance industry and 2 years as a Tech Lead at Quora. Youngest founder funded by Accel as a teenager.
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