Genesis Therapeutics | Burlingame, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai
We’re a hybrid AI + biotech start-up, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines.
We're looking for a strong infrastructure engineer, who will take over the lead responsibility for scaling our model training infrastructure within Google Cloud Platform as well as developing our own physical colocated cluster.
Also looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required.
- Recently raised $52M Series A led by Rock Springs Capital, Andreessen Horowitz participating: https://techcrunch.com/2020/12/02/genesis-therapeutics-raise...
- Recently announced a multi-target drug discovery partnership with Genentech: https://www.businesswire.com/news/home/20201019005182/en/Gen...
- We currently have a small team of excellent ML + software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook, Google, Dropbox, Memsql, Jane Street
- In addition to strong software + ML talent, our small team has top drug discovery chemists who have collectively discovered several FDA-approved drugs before
Here are our open roles:
- Lead Infrastructure Engineer: https://jobs.lever.co/genesistherapeutics/cbf4ca99-2afb-4d23...
- AI Engineer (Research Scientist): https://jobs.lever.co/genesistherapeutics/c1b7564f-181b-4e45...
- Software Engineer: https://jobs.lever.co/genesistherapeutics/e76a97f1-1157-4bb7...
Interview process: 1-2 one-hour technical phone screens, 1 day on-site (now virtual) with 3 one-hour technical questions. All these include extra time to chat, answer your questions about Genesis, and meet us. Can go from first email to offer in a week or two
Tech Stack: python, C++, pytorch, postgres, docker, kubernetes, various computational chemistry libraries + tools
Please apply online, or email me if you have any questions: ben@genesistherapeutics.ai
UrbanFootprint | Senior Full Stack Engineer | Local or Remote - Berkeley, CA | Full-time
The UrbanFootprint Platform is a single-page, data-rich, map-centric interface that delivers a cutting edge web-mapping, analysis, and reporting experience to a broad range of users focused on understanding and planning for cities and urban markets. Built uponTypeScript, React, Redux, RxJS, and Mapbox GL our front-end application delivers a beautiful, engaging experience that combines 2D and 3D map interaction, data visualization, and comparative analytics which is supported by our backend built with Python, SQLAlchemy, Pandas, and Celery. The backend makes heavy use of PostgreSQL and PostGIS, for geospatial queries and analysis.
We are looking to add a senior full stack engineer with a penchant for frontend work to build and deliver exciting new features.
Drop us a message and resume at hn@urbanfootprint.com or apply directly at https://urbanfootprint.applytojob.com/apply/L6jIIklGYr/Senio...
Kalepa | Senior Backend and Full-Stack Engineers | New York, NY (HQ) & Completely REMOTE| Full-time | VISA https://angel.co/company/kalepa Software engineers at Kalepa are solving interesting and challenging problems at the intersection of data engineering, distributed systems and microservices, and machine learning. You will be working across the stack, building intuitive and performant microservices, robust data pipelines, beautiful frontend apps, and everything in between. You will be working with a small team of full-stack, data, ML, and DevOps engineers working in a modern stack.
Kalepa is eliminating deadweight loss in commercial insurance underwriting. Kalepa's AI-powered Copilot enables underwriters to rapidly evaluate and optimally select risk. By analyzing trillions of points of structured and unstructured data, Copilot augments underwriters with insights and recommendations on every risk: is that business a family restaurant or a dive bar with a mechanical bull? Does that contractor have an excellent safety record and merits a better rate? Does that motel represent a sex trafficking and prostitution risk? Copilot answers such questions for underwriters in seconds through a battery of NLP and computer vision models on a massive, and fast growing, data set of businesses in the US.
Kalepa's team members bring experiences from Facebook, Google, Amazon, ClassPass, Atlassian, APT (acquired by Mastercard for $600M in 2015), MIT, Berkeley, UPenn, NYU, and the Israel Defense Forces. Kalepa's HQ is in New York City and we have team members around the globe. We are backed by IA Ventures, investors in Datadog, TheTradeDesk, Transferwise, Flatiron Health, and others.
https://angel.co/company/kalepa
Contact: paul.monasterio@kalepa.co
Covariant (https://covariant.ai/) | Berkeley, CA (San Francisco Bay Area) | full-time | onsite (pre/post-COVID)
Since the first industrial robots were introduced in the 1960s, robots have automated countless dangerous, repetitive tasks, but they've only reached a fraction of their potential. Incapable of thinking on their own, they can only do pre-programmed tasks in tightly-controlled environments -- they can't understand, learn, or adapt. Covariant was founded in 2017 to change this.
Our vision is the Covariant Brain: universal AI that allows robots to see, reason, and act on the world around them. We’re bringing the Covariant Brain to commercial viability, starting with the industries that make, move, and store things in the physical world.
Our work was recently featured in publications from the New York Times (https://nyti.ms/2SkFoUe) and the Wall Street Journal (https://on.wsj.com/2OpujAe), to IEEE Spectrum (https://bit.ly/2Opw3cy)!
We’re always hiring for a variety of roles, but our current priorities are:
- Site Reliability Engineer: https://bit.ly/2OrhpSf
- Sr. Software Engineer: https://bit.ly/2OprXBq
- Sr. Software Engineer, Data Infrastructure: https://bit.ly/36qprEg
Experience in AI/ML/robotics is not required!
Bringing AI from laboratory research to success in the real world requires a team that represents that world -- a diversity of backgrounds, points of view, and experiences. Our common denominator: ambitious expectations, love of learning, and empathy for those around us. Curious? Read more about our company and our engineering culture! https://bit.ly/37U1rba