Causalis is a VC-backed startup partnering with the world’s leading pharma companies, building machine learning solutions to bring causal intelligence to healthcare. We are developing a platform of solutions based on novel and proprietary causal AI techniques, to help doctors, patients, and researchers understand and act on the cause-effect relationships in medical data. We are a multi-disciplinary, international team of experts in AI and ML, causal inference and data science, healthcare and medicine. We are looking for smart, driven and overall extraordinary individuals who are passionate about changing the world of personalized medicine, and eager to shape the future of Causalis -- https://causalis.ai/careers.
With new funding and pharma contracts, we're HIRING ENGINEERS #1 AND #2 in the following areas:
As a legitimate AI research engineer, I 100% agree with the take of the OP (particularly with the example self-proclaimed "Forbes AI Innovator of the Year"): I'm not salty because I'm jealous... I want more people to learn ML and Data Science, I just don't want them to learn snake oil selling. I'm particularly salty because being a snake oil salesman and a shameless self-promoter seems to be a legitimate path to success. As an academic and a scientist, it bothers me that people listen to advice from such snake oil salesmen.
Damn. What is safe though? Is it safe to rent a car? Better to drive across the country and stay with family, where healthcare systems aren't crumbling? Or find a random cabin upstate NY to rent, but risk access to healthcare?
Related: "In general a machine learning system is built and trained to optimize a specified target objective: classification accuracy in a spam filter or tumor diagnostic, efficiency in route planning or Amazon box packing. Unlike these precise performance metrics, the criteria of safety, trust, and nondiscrimination often cannot be completely quantified. How then can models be trained towards these auxiliary objectives?"
For better or worse, I have been exploring acquihire for a few weeks already, with several interested parties. However those discussions have not included the current circumstance, where I personally would not be 100% involved post-acquisition. I imagine this could be a dealbreaker.
> You need someone you really trust, who is 100% independent
The examples here are not 100% independent, given prior friendships or working relationships with the founders. Terms will stipulate that the assignment of an independent director
be "mutually agreed upon by the other board members" (e.g. founder and investor).
New research non-profit looking for short-term DESIGN work (logo, branding, maybe website), specifically themed like Isaac Asimov's Foundation.
-> [email protected]