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Data Scientist

We're looking for an experienced Data Scientist to help shape the core product, inside and out. Implement concepts in SQL, Rust and Python rather than Powerpoint.

Data Scientist

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 Data Scientist to help shape the core product, inside and out. This is an IC role, but will 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.

Reach out if you want to:

  • Create documentation for classical Machine Learning use cases on a brand new platform
  • Educate early customers and help them formulate business problems as supervised learning problems
  • Design statistical visualizations that provide insight across multiple data sets
  • Guide UX to create interpretable model outputs, as well as avenues for model improvement
  • Implement concepts in SQL, Python and Rust rather than Powerpoint

About Us

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.

Qualifications

  • 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

Benefits

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

  • Remote-first, work from anywhere in the United States
  • We cover the max allowable (99%) health, dental and vision premiums for platinum tier insurance plans
  • $5k/year hardware budget, $500/month home office reimbursement as well as conference, learning and development stipend
  • 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.

Have Questions?

Join our Discord and ask us anything! We're friendly and would love to talk about PostgresML and PgCat.

Benefits

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

computer
Remote-first

Work from anywhere in the United States.

flight_takeoff
Relocate if you want

We’ll offer a relocation package if you’re interested in moving to the beautiful bay area.

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Platinum-tier insurance

We cover the max allowable (99%) health, dental and vision premiums for platinum tier insurance plans.

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Stipends

$5k/year hardware budget, $500/month home office reimbursement as well as learning and development/conference stipends.

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Unlimited PTO

And we strongly encourage you to use it to stay healthy and happy. It’s typical for team members to take 3-4 weeks per year in addition to holidays.

group
Connect in person

The entire team comes together for quarterly on-sites where we do fun stuff like wine tasting and bowling. If you live in the Bay Area, we hike and hang out every Wednesday.