We’re an urban planning consultancy building the CommunityScale Housing Forecast, tools and maps that help cities plan housing and growth. Small, focused team; real-world impact.
You’ll work on: - APIs & performance: Extend FastAPI endpoints (forecast overrides, analytics), tune queries/caching, containerize heavy jobs on Cloud Run. - Data engineering: Ingest ACS/FRED/Zillow; refactor transforms to SQL/dbt; manage schema migrations; keep tilesets fresh. - Geospatial UX: Improve PostGIS/GeoAlchemy2 pipelines and map rendering (e.g., overlapping township/municipality z-index issues).
Stack: Python 3.13+, FastAPI, SQLAlchemy 2, Pydantic, Pandas; Postgres 16 + PostGIS, DuckDB; dbt; HTMX, Tailwind, Jinja2, Mapbox GL JS; Docker, GCP (Cloud Run), GitHub Actions, uv, pytest, Ruff, Pyright. Nice-to-have: Prefect, BigQuery, dlt; familiarity with US Census data.
Requirements: 2+ yrs building Python web apps; strong SQL & schema design; ETL/ELT experience; collaborative Git workflow; geospatial familiarity (nice-to-have).
Benefits: Competitive base + 401(k) match, paid vacation, health insurance stipend. Remote-first with limited travel.
Apply: email nels@communityscale.com with subject “Job application: Lead Python Developer, <Your Name>”. We’re actively hiring and will respond to applicants.
Work Location: HYBRID in Boston or NYC (downtown) Headcount: ~32, hiring 2-3 per month
Stack:React / Typescript / Python / GCP
Open Roles (all roles require a MINIMUM of 6 years of work experience): ML Infrastructure (Staff+) * Data Infra Lead/Engineer * Research Scientist (PhD's) * Data Scientist (looking for CS/engineering background ideally) * Security Engineer * ML Engineer
We Offer: * competitive base salary + equity + great health/medical benefits * unlimited PTO * collaborative engineering-first culture, in office 2-3 days per week in Boston and NYC offices
Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.
Email me at mike.hauschild@layerhealth.com for more info!
At Matterworks we are building AI tools to extract insights from the ever-growing corpora of biological data and to unlock opportunities in therapeutic discovery, development, and manufacturing. We are building large-scale deep learning models of biological data to predict the phenotype and behavior of biological systems.
Principal ML Scientist - https://jobs.ashbyhq.com/matterworks/abd91496-f8dc-4a14-aa80...
Staff ML Scientist - https://jobs.ashbyhq.com/matterworks/460eb0dc-61fb-4b6e-843c...
Principal Software Engineer - https://jobs.ashbyhq.com/matterworks/e520eef6-0bfe-4c9b-afc8...
Datadog is a monitoring, tracing, logs system, and more, for your infrastructure and services. We build our own tsdb, event store [1][2], distributed tracing tools, cutting edge visualizations, and more. We love shipping great experiences for customers just like us and are growing fast! We write a lot of Go, Java, Python, Typescript (with React), and a bit of other languages. We run on k8s, and are multi-region and multi-cloud.
We're looking for people who can build systems at scale as we process trillions of events per day. Let us know if that's you!
[1] https://www.datadoghq.com/blog/engineering/introducing-husky
[2] https://www.datadoghq.com/blog/engineering/husky-deep-dive
Oryo helps CISOs secure GenAI/Agentic AI. We enable enterprises to address AI tool misuse, privilege escalation, and AI supply chain risk, giving security teams the visibility and control to manage agent behavior and secure data access.
*Engineering challenges* - Build pipelines to monitor config + real-time agent behavior - Detect privilege escalation, tool misuse, attack paths, supply chain vulnerabilities, compliance risks - Explore gaps in protocols like MCP + A2A, interoperate with existing security stacks - Build AI-centric security products from 0→1 - Build using a variety of modern languages, frameworks and cloud and ai native architectures.
*You are* - Full-stack engineer with 5+ years experience in infra, data, or security systems - High bar for engineering excellence, ownership, and system design - Bonus: prior experience in cybersecurity, infra, data science, front end, or AI security
*Why join* - Competitive pay ($180–220k) + early equity - Remote with proximity to SF/Seattle/Boston - Work on a new frontier in security, where your judgment and code shape the company - Culture: respect, transparency, autonomy, and excellence
- More info : https://docsend.com/view/5xw8iv8y48wzztxw
To apply: email swaroop [at] oryo.io