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StarTree
Mountain View, CA, United States
About the Team: The Data Infrastructure team is at the core of StarTree’s SaaS offering - enabling our customers to leverage real-time data to accelerate key decision-making by building world-class data ingestion, processing, and serving systems. The team is responsible for scaling and evolving StarTree’s Pinot Engine and the corresponding data pl
Job Source: StarTreeDoorDash
Sunnyvale, CA, United States
San Francisco, CA; Seattle, WA; Sunnyvale, CA About the Team Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Team
Job Source: DoorDashDatologyAI
Redwood City, CA, United States
About the company Companies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster-we know because w
Job Source: DatologyAIApplied Intuition
Mountain View, CA, United States
About Applied Intuition Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the definitive ADAS/AD toolchain and a world-class vehicle platform to help customers shorten time to market, build industry-leading products, and crea
Job Source: Applied IntuitionLuma AI
Palo Alto, CA, United States
Senior Software engineer- Data infrastructure Luma’s mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on
Job Source: Luma AIRoblox
San Mateo, CA, United States
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vis
Job Source: RobloxSnowflake Computing
San Mateo
Build the future of data. Join the Snowflake team.Snowflake is one of the fastest-growing enterprise software companies ever. We were ranked #1 on LinkedIn’s list of top startups, and #2 on Forbes's list of top private cloud companies, right before having one of the most successful IPOs in software history.Snowflake is growing fast and we’re scalin
Job Source: Snowflake ComputingApplied Intuition Inc
Mountain View, CA, United States
About the role We are looking for talented engineers who are excited about building products that wrangle AV data to supercharge our customers. You will drive the design and development of data infrastructure across both our external products and internal tools. Handling massive volumes of data for Applied’s platform needs is a critical area and w
Job Source: Applied Intuition IncRedwood City, CA, United States
About the company
Companies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster-we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper.
Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML.
Following our $11.65M Seed round last September, we've raised a $46M Series A led by Felicis Ventures. Our investors include Radical Ventures, Amplify Partners, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil.
With over $57.5M in total funding, we're rapidly scaling our team and compute resources to revolutionize data curation across modalities. Join us in pushing the boundaries of what's possible in AI!
Learn more about the company here.
This role is based in Redwood City, CA. We are in person 5 days per week and offer relocation assistance to new employees. We provide visa sponsorship for candidates selected for this role.
About the role
We're looking for an experienced Data Platform Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our core product and data platform. These are key components of our stack that allow us to process customer data and apply state of the art research for identifying the most informative data points in large-scale datasets. You will have a broad impact over the technology, product, and our company's culture. We provide visa sponsorship for candidates selected for this role.
As a Data Infrastructure Engineer at Datology AI, you will be responsible for:
Design, build and maintain highly scalable data processing solutions, while ensuring scalability, reliability, and security
Architect, build, and deploy the back-end systems and services that power our data curation platform
Partner with researchers and engineers to bring new features and research capabilities to our customers
Ensure that our systems are reliable, secure, and worthy of our customers' trust
About You
There are a few specific things we'll be looking for that will help you succeed in this role:
Have meaningful experience with leading and building production data systems to deliver on major product initiatives.
You have built and managed highly scalable data processing solutions (e.g. Spark, Flink), data lakes or warehouses (e.g. Snowflake, Hive), authored queries (SQL), distributed storage systems (e.g., HDFS, S3), used workflow management (e.g. Airflow, Dagster), and have experience maintaining the infra that supports these.
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
Expertise with any of ETL schedulers such as Airflow, Dagster, or similar frameworks.
Experience maintaining a high quality bar for design, correctness, and testing.
Take pride in building and operating scalable, reliable, secure systems
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
We would love it if candidates have:
You have experience being the technical lead of a Data Engineering / Platform / Infrastructure Team.
Experience building ML/DL systems and/or data infrastructure that feeds into training large ML models
Compensation and Benefits
At DatologyAI, we are dedicated to ensuring pay fairness and maintaining highly competitive market rates. We also offer a comprehensive benefits package to support our employees' well-being and professional growth:
Comprehensive health, dental, and vision insurance for you and your dependents.
401(k) plan with a generous 4% company match.
Unlimited paid time off (PTO) policy - we encourage employees to take a minimum of 2 weeks per year to rest and recharge.
Annual $2,000 wellness stipend to support your physical and mental well-being.
Annual $1,000 learning and development stipend to foster continuous growth and skill acquisition.
Daily lunches and snacks are provided in our office!
Relocation assistance for employees moving to the Bay Area to help ease the transition
We believe in investing in our employees and providing them with the resources they need to thrive both personally and professionally.
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Email Alert for Software Engineer, Data Infrastructure jobs in Redwood City, CA, United States
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