AI Infrastructure Engineer, Scale AI
ML Data Platform
$188-225.6k
Training and validation data for AI applications
Open for applications
Training and validation data for AI applications
1001+ employees
Open for applications
$188-225.6k
1001+ employees
Company mission
To accelerate the development of AI applications.
Role
Who you are
- 2+ years of experience in building and operating large-scale distributed data systems that support ML workloads
- Expertise in modern data platform technologies (e.g. Snowflake, Delta Lake, Spark, Flink, Ray, etc.) and data engineering practices
- Experience working with standard containerization & deployment technologies like Kubernetes, Helm, Terraform, Docker, etc
- Strong problem solving skills and the ability to work effectively in a fast paced, dynamic environment
Desirable
- Knowledge of AI/ML frameworks and libraries (e.g. PyTorch, HuggingFace)
- Experience with document (MongoDB), relational (Postgres), blob (S3) and highly distributed databases (Redis, ElasticSearch)
- Strong experience with orchestration platforms, such as Temporal and AWS Step Functions
- Experience scaling products at hyper-growth startups
What the job involves
- As a Data Infrastructure Engineer on the AI Infrastructure team, you will design, build, and scale the data platform that powers all R&D and applied ML initiatives at Scale
- Collaborating closely with product engineering, platform engineering, and ML researchers, you will build robust and easy-to-use APIs and data pipelines
- Your work will play a critical role in advancing frontier ML research, accelerating the data sales cycle, and improving data quality - all while optimizing infrastructure costs
- Design, implement, and maintain scalable data platforms to support diverse R&D and applied ML workloads
- Partner with ML researchers, product engineers, and operations teams to align data infrastructure with organizational goals
- Collaborate with ML researchers to build data access tools that help advance the state of frontier post-training research
- Participate in our team’s on call process to ensure the availability of our services
- Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment
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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