Full-Stack Software Engineer, Research Data Tools

Seldon Technologies, Inc.

San Francisco (CA)

On-site

USD 120,000 - 180,000

Full time

9 days ago

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Benefits offered by this job

Health coverage
Dental coverage
Vision coverage
Visa sponsorship
Relocation support
Professional development budget
AI tools
GPUs
Mac computer
Subscriptions
Team off-sites
Conference attendance
Transportation support
Gym membership
Sports club subscriptions
Food stipend

Job summary

Seldon Technologies, Inc. is seeking a versatile engineer to build interfaces for creating and reviewing research data, and to develop APIs and data models. You’ll connect apps to data pipelines, enforce input validation and permissions, and scale performance as datasets grow.

You’ll collaborate with researchers and domain experts to refine workflows, fix issues, and deliver robust solutions across the stack.

Qualifications

  • Experience building and maintaining applications used by others.
  • Strong skills in TypeScript and React, or Python with FastAPI.
  • Experience designing APIs and working with SQL and PostgreSQL.
  • Practical approach to testing and debugging, and incorporating user feedback.
  • Initiative, principled decision-making, and collaborative problem solving.

Responsibilities

  • Build interfaces for writing tasks, reviewing files and video, inspecting agent actions, and comparing results.
  • Develop APIs and PostgreSQL data models for tasks, reviews, files, and experiments.
  • Connect applications to data pipelines and file storage with input validation and permissions.
  • Work with users to improve workflows, investigate bugs, and maintain performance as datasets grow.

Skills

TypeScript/React
Python/Backend
FastAPI
SQL/PostgreSQL
API design
Testing/debugging
User feedback

Tools

AWS
S3
Playwright

Job description

Seldon Technologies, Inc. is seeking a versatile engineer to build interfaces for creating and reviewing research data, and to develop APIs and data models. You’ll connect apps to data pipelines, enforce input validation and permissions, and scale performance as datasets grow.

You’ll collaborate with researchers and domain experts to refine workflows, fix issues, and deliver robust solutions across the stack.

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