PostgresML is building a GPU-powered AI application database. You can perform microsecond inference with the world's most capable feature store. It allows you to easily train and deploy online models using only SQL. We're looking for an experienced Engineers to help shape the core product, inside and out. We're generally looking for individual contributors, but everyone be critical in building the future team as well as the core product, while leading efforts toward more efficient and effective Machine Learning workflows for our customers.

[data-scientist.md](careers/data-scientist.md"mention")

[data-scientist.md](data-scientist.md"mention")

[machine-learning-engineer.md](careers/machine-learning-engineer.md"mention")

[machine-learning-engineer.md](machine-learning-engineer.md"mention")

[full-stack-engineer.md](careers/full-stack-engineer.md"mention")

[full-stack-engineer.md](full-stack-engineer.md"mention")

[product-manager.md](careers/product-manager.md"mention")

[product-manager.md](product-manager.md"mention")

*[Careers](README.md)

*[Machine Learning Engineer](careers/machine-learning-engineer.md)

*[Product Manager](careers/product-manager.md)

*[Machine Learning Engineer](machine-learning-engineer.md)

*[Product Manager](product-manager.md)

* Guide UX to create interpretable model outputs, as well as avenues for model improvement

* Implement concepts in SQL, Python and Rust rather than Powerpoint

We're a Seed stage startup with experienced software engineers and designers who specialize broadly across the skillsets required to build machine learning infrastructure. We use Rust to operate within Postgres for memory efficiency and performance at scale with standard supervised learning libraries, such as Torch, Tensorflow and XGBoost, to build a hosted, horizontally scalable platform on top of Postgres.

We bias toward action and course correct based on feedback. We're not afraid of failure, we're always learning. We enjoy working on big problems with a pragmatic approach, participating in the broader open source community.

* Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

* 5+ years of relevant experience in roles that require a strong statistical background day to day.

* Experience designing machine learning models (data analysis, feature engineering, algorithm selection), and working with them in a production environment, using a language like R, Python or C++

* Excellent understanding of SQL concepts for data retrieval, cleaning and feature engineering

* Presentation and communication skills, diagrams as well as documents to explain deep concepts

We take care of our team and care about your well being.

* If you live in the Bay Area, we hike and hang out every Wednesday. We prefer that to Zoom, so we’ll offer you a relocation package if you’re interested in the beautiful weather.

* Unlimited PTO, and we strongly encourage you to use it to stay healthy and happy. It's typical for employees to take 3-4 weeks per year, in addition to holidays.

You must be eligible to work in the United States.

* Implement advanced visualizations using D3, WASM, SVG and CSS to provide insight into complex data sets and models

* Build end-to-end ML applications with the support of a Data Scientist on the platform

We're a Seed stage startup with experienced software engineers and designers who specialize broadly across the skillsets required to build machine learning infrastructure. We use Rust to operate within Postgres for memory efficiency and performance at scale with standard supervised learning libraries, such as Torch, Tensorflow and XGBoost, to build a hosted, horizontally scalable platform on top of Postgres.

We bias toward action and course correct based on feedback. We're not afraid of failure, we're always learning. We enjoy working on big problems with a pragmatic approach, participating in the broader open source community.

* 5+ years of professional programming experience including vanilla HTML/JS/CSS in a browser. Experience with multiple languages (e.g. Typescript, Dart, Swift, Kotlin, Rust), runtime environments (web, mobile, desktop), and frameworks (React, Angular, Vue) preferred.

* Experience creating and maintaining front end infrastructure and tooling such as build pipelines

* Keen attention to detail and able to work with a designer to iterate toward responsive and scalable designs

* Interest in machine learning, statistics and algorithms for dealing with large datasets.

We take care of our team and care about your well being.

* If you live in the Bay Area, we hike and hang out every Wednesday. We prefer that to Zoom, so we’ll offer you a relocation package if you’re interested in the beautiful weather.

* Unlimited PTO, and we strongly encourage you to use it to stay healthy and happy. It's typical for employees to take 3-4 weeks per year, in addition to holidays.

Employment Eligibility

You must be eligible to work in the United States.

* Integrate the latest models and frameworks w/ vector and tabular database operations

* Diagnose customer scale and performance issues

We're a Seed stage startup with experienced software engineers and designers who specialize broadly across the skillsets required to build machine learning infrastructure. We use Rust to operate within Postgres for memory efficiency and performance at scale with standard supervised learning libraries, such as Torch, Tensorflow and XGBoost, to build a hosted, horizontally scalable platform on top of Postgres.

We bias toward action and course correct based on feedback. We're not afraid of failure, we're always learning. We enjoy working on big problems with a pragmatic approach, participating in the broader open source community.

* 5+ years of relevant experience in roles that require a strong statistical background day to day. Related degree preferred.

* Experience designing machine learning models (data analysis, feature engineering, algorithm selection), and working with them in a production environment, using a language like R, Python or C++

* Understanding of SQL concepts for data retrieval, cleaning and feature engineering

* Presentation and communication skills, diagrams as well as documents to explain deep concepts

We take care of our team and care about your well being.

* If you live in the Bay Area, we hike and hang out every Wednesday. We prefer that to Zoom, so we’ll offer you a relocation package if you’re interested in the beautiful weather.

* Unlimited PTO, and we strongly encourage you to use it to stay healthy and happy. It's typical for employees to take 3-4 weeks per year, in addition to holidays.

You must be eligible to work in the United States.