adam-tecton
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Comment · 1 year ago
Comment · 2 years ago
Tecton | https://tecton.ai/ | Various roles | Remote (Americas), or Hybrid (San Francisco/New York City) | Full-time
* About us *
At Tecton, we solve the complex data problem in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions. Trusted by Coinbase, Stripe, Block and many others, Tecton abstracts away the complex engineering to speed up innovation.
With our platform, teams can refine contextual data for AI products, obtain scalable cloud infrastructure to ingest and serve it at scale, and have a centralized knowledge management and data governance system.
Learn more at https://www.tecton.ai/
* Careers *
Tecton is currently hiring remotely all over the United States, Canada, and South America.
*We are hiring across every department at this moment.*
Some of the challenges our Software Engineering team is tackling now include:
- Building the Rift compute engine to allow users to make ML applications WITHOUT Spark: https://resources.tecton.ai/rift
- Tackling the unexplored challenges of enabling real-time ML at scale: https://www.tecton.ai/blog/powering-millions-of-real-time-ra...
- Taking on production challenges for embeddings to power predictive and generative AI: https://www.tecton.ai/blog/productionizing-embeddings-challe...
* Find our open roles at: https://www.tecton.ai/careers/openings/ *
Comment · 2 years ago
Hey, this is neat!
Comment · 2 years ago
Tecton | https://tecton.ai/ | Various roles | Remote (Americas), or Hybrid (San Francisco/New York City) | Full-time
* About us *
Tecton builds a data management platform (a Feature Platform) to help enterprise customers create the best AI products by solving the most difficult problem in ML: the data. We provide developer tools and infra to accelerate up the production of models for batch and real-time ML.
With our platform, teams can refine contextual data for AI products, obtain scalable cloud infrastructure to ingest and serve it at scale, and have a centralized knowledge management and data governance system.
Learn more at https://www.tecton.ai/
* Careers *
Tecton is currently hiring remotely all over the Americas (North, Central and South), and with a hybrid model in SF and NYC (come to the office as much as you want).
Some of the challenges our Software Engineering team is tackling now include:
- Building the Rift compute engine to allow users to make ML applications WITHOUT Spark: https://www.tecton.ai/blog/unlocking-real-time-ai-for-everyo...
- Creating cloud abstractions to allow our product to be used agnostically across many environments: https://www.tecton.ai/blog/announcing-tecton-google-cloud-in...
- Tackling the unexplored challenges of enabling real-time ML at scale: https://www.tecton.ai/blog/common-challenges-real-time-machi...
* Find our open roles at: https://www.tecton.ai/careers/openings/ *
Comment · 2 years ago
Tecton | https://tecton.ai/ | Various roles | Remote (Americas), or Hybrid (San Francisco/New York City) | Full-time
* About us *
Tecton builds a data management platform (a Feature Platform) to help enterprise customers create the best AI products by solving the most difficult problem in ML: the data. We provide developer tools and infra to accelerate up the production of models for batch and real-time ML.
With our platform, teams can refine contextual data for AI products, obtain scalable cloud infrastructure to ingest and serve it at scale, and have a centralized knowledge management and data governance system.
Learn more at https://www.tecton.ai/
* Careers *
Tecton is currently hiring remotely all over the Americas (North, Central and South), and with a hybrid model in SF and NYC (come to the office as much as you want).
Some of the challenges our Software Engineering team is tackling now include:
- Building the Rift compute engine to allow users to make ML applications WITHOUT Spark: https://www.tecton.ai/blog/unlocking-real-time-ai-for-everyo...
- Creating cloud abstractions to allow our product to be used agnostically across many environments: https://www.tecton.ai/blog/announcing-tecton-google-cloud-in...
- Tackling the unexplored challenges of enabling real-time ML at scale: https://www.tecton.ai/blog/common-challenges-real-time-machi...
* Find our open roles at: https://www.tecton.ai/careers/openings/ *
Comment · 2 years ago
Tecton | https://tecton.ai/ | Various roles | Remote (Americas), or Hybrid (San Francisco/New York City) | Full-time
*About us*
Tecton builds a data management platform (a Feature Platform) to help enterprise customers create the best AI products by solving the most difficult problem in ML: the data. We provide developer tools and infra to accelerate up the production of models for batch and real-time ML.
With our platform, teams can refine contextual data for AI products, obtain scalable cloud infrastructure to ingest and serve it at scale, and have a centralized knowledge management and data governance system.
Learn more at https://www.tecton.ai/
*Careers*
Tecton is currently hiring remotely all over the Americas (North, Central and South), and with a hybrid model in SF and NYC (come to the office as much as you want).
Some of the challenges our Software Engineering team is tackling now include:
- Building the Rift compute engine to allow users to make ML applications WITHOUT Spark: https://www.tecton.ai/blog/unlocking-real-time-ai-for-everyo...
- Creating cloud abstractions to allow our product to be used agnostically across many environments: https://www.tecton.ai/blog/announcing-tecton-google-cloud-in...
- Tackling the unexplored challenges of enabling real-time ML at scale: https://www.tecton.ai/blog/common-challenges-real-time-machi...
*Find our open roles at: https://www.tecton.ai/careers/openings/ *
Comment · 3 years ago
Tecton | REMOTE (US, Canada) & ONSITE (SF, NY) | Full-Time | Multiple Sr/Staff/TL Software Engineering roles | https://tecton.ai
Tecton builds a world-class enterprise platform to power real-time ML models in production, tackling the hardest problem in AI: the data. We have backing from Databricks and Snowflake, as well as our VC partners: Sequoia, a16z, and Kleiner-Perkins.
Our distributed team is amazingly talented, collaborative, and dedicated, and we we're looking to bring people who want to own critical projects like:
- Delivering a fully-managed native streaming execution engine
- Building a compute platform to handle batch/streaming data
- Designing and modernizing ML-oriented SDKs
- Solving abstractions for performant batch compaction
This is a greenfield category, and we're taking on problems that few people have worked on before at this scale. Read more here:
- https://www.tecton.ai/blog/efficient-accurate-data-generatio...
- https://www.tecton.ai/blog/how-do-real-time-features-work-in...
- https://www.tecton.ai/blog/common-challenges-real-time-machi...
* Interested? Send your resume to [email protected] *
* Some of this roles are posted on our careers website, expect more to be up soon: https://www.tecton.ai/careers/openings/ *
Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.
Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
Tecton is the industry’s leading feature platform - used by Data Scientists and ML Engineers at ML powerhouses like Atlassian, Block, and Coinbase.
We are hiring for multiple teams across Engineering, GTM and Operations, but I wanted to highlight these opportunities:
* Gen AI Machine Learning Engineer – bring Tecton’s existing technology foundation to our customers’ GenAI use cases: https://jobs.lever.co/tecton/29a35848-a25b-48a4-a7f7-ba86000...
* Real-time Compute Staff SWE - build streaming infrastructure that provides sub-second data freshness for AI applications in production: https://jobs.lever.co/tecton/70d4b381-bab1-468a-bae5-04c016e...
Find all openings here: https://www.tecton.ai/careers/openings/