Trust Machines https://trustmachines.co | Blockchain Engineer | Full-Time | USA | VISA | REMOTE
Trust Machines builds applications, technologies, and infrastructure to make Bitcoin more productive and to enable its use as a decentralized final settlement layer for transactions in a wide range of applications.
Tech stack: Rust, GCP, GKE.
Why join us?
- Trust Machines was co-founded by Muneeb Ali: OG Bitcoin builder, Stacks founder, and previous Hiro [1] CEO. Muneeb [2] and his co-founder computer scientist JP Singh [3] bring a track record of long term vision and successful entrepreneurship to the table.
- Trust Machines is well funded with $150M in backing from Digital Currency Group, Union Square Ventures, Breyer Capital (one the first investors in Facebook), and more.
- Trust Machines is at the cutting edge of Bitcoin development and working on difficult to solve engineering problems and consumer app development that aim to advance the space as a whole.
Trust Machines in the news
- https://www.coindesk.com/business/2022/02/03/muneeb-alis-tru...
- https://www.yahoo.com/now/trust-machines-appoints-coinbase-v...
- https://www.yahoo.com/now/trust-machines-brings-dan-held-143...
- https://www.crunchbase.com/organization/trust-machines
[1] Developer Tools for Stacks. https://www.hiro.so/
[2] Muneeb Ali. https://en.wikipedia.org/wiki/Muneeb_Ali
[3] JP Singh. https://www.cs.princeton.edu/people/profile/jps
To apply, email {sha256(”hello”)}@trustmachines.co
Meliora Therapeutics | San Francisco, CA and Full Remote | Full-time | Multiple Roles
Meliora Therapeutics is leveraging modern biology and machine learning to create a step change in the efficiency of cancer drug development. In short, the vast majority of cancer drugs fail in clinical trials, and off-target effects are often to blame. We're using sophisticated genomic and machine learning techniques to accurately characterize how drugs affect cells and thereby to develop new drugs more efficiently. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are just getting started.
Our founding team has strong experience in software, machine learning, and biology developed through experience at Google, Verily, Benchling, and the Yale School of Medicine to complement advanced degrees from universities such as MIT, Princeton, and UPenn. We are moving with urgency to capitalize on the opportunity ahead of us, and are fresh off a seed round financing. We are backed by leading funds who were early investors in world class companies such as Gilead, Recursion, Insitro, Benchling, and others.
We're looking for talented, ambitious, and creative technical experts to join us in building a machine learning-driven cancer drug development engine. Previous experience in biology or computational biology is not required for every role.
Machine Learning Engineer: https://docs.google.com/document/d/1K3xWpVLyNDBaQIO_mnIVm_ds...
Machine Learning Scientist: https://docs.google.com/document/d/1HLaBRj1QpuUHqHZrlWPHu9ck...
Data Scientist - Computational Biology: https://docs.google.com/document/d/1VhZ7Oet5UqJ1XlWeGrS8D5Ob...
If you are interested, or you know someone who might be, please reach out via email: zach@melioratherapeutics.com