Ask HN: Who is hiring? (August 2021)

Faculty | various roles | London, UK | https://faculty.ai

Faculty is an applied AI company that helps companies who have the scale, data and foresight to adopt AI into their organisations. We’re helping make AI real across society by providing a unique combination of strategy, software and skills to our customers: everything needed to successfully create value from AI.

We have recently completed a £30m growth funding round led by the Apax Digital Fund. The funding will be used to drive the expansion of Faculty’s pioneering "AI as a Service" model.

There are a lot of open positions, for both engineering and commercial roles at https://apply.workable.com/faculty/

Some highlights:

* Senior Machine Learning Engineer https://apply.workable.com/faculty/j/31128761FB/

* Software Engineer https://apply.workable.com/faculty/j/43E712E910/

* Site Reliability Engineer https://apply.workable.com/faculty/j/0E9F7CD62F/

* Frontend Engineer https://apply.workable.com/faculty/j/A1B76C0A2B/

* Product (UX/UI) Designer https://apply.workable.com/faculty/j/8A6BCB1A57/

* Data Scientist https://apply.workable.com/faculty/j/A1A5558A98/

* Commercial Director, Energy & Infrastructure https://apply.workable.com/faculty/j/83BA4E9657/

... Technical Directors, Engagement Managers, Principals, Analysts, Sales Managers, and more on the top Workable link, as well as an Open Call if you are interested working with us but haven't found a specific role for yourself on that list.

MacroFab | Frontend, Backend, Product, and more | Full-Time | Remote or Onsite (Houston, TX; Guadalajara, MX) | https://macrofab.com

MacroFab is the first digital marketplace for electronics manufacturing. We manufacture electronics products in North America (US, Mexico, and Canada) by utilizing excess capacity at existing contract manufacturers. Automated pricing, job management, logistics, purchasing, and more are managed through our advanced manufacturing platform.

With offices in Houston and Guadalajara, both onsite and remote work are available.

Our software stack is primarily Python on the backend and React on the frontend, running in a mixed server and server-less environment in AWS, utilizing a variety of data stores and other technologies.

We are growing rapidly and have numerous positions available in Product Management, Backend, Frontend, Full-stack, Technical Program Management, Marketing, Sales, and Operations.

For a full list: https://macrofab.applytojob.com/apply

DreamList.com | Lead Mobile Engineer | SF Bay Area or Remote | Part-Time / Full time | Potential Co-Founder opportunity teaming up with a Full Stack Engineer | https://www.DreamList.com

DreamList is a private and forever ads-free shared brain for families. Designed from the ground up to be an agent for consumers, our goal is to be trusted and spread organically by building something so much better than any other consumer platform out there (one that saves you money, preserves your privacy, and helps you gather yours and loved one’s most precious memories and stories for posterity). Starting with a more meaningful collaborative shopping and wishlist tool for families, we are expanding with social functionality, a new type of family personal logging tool, platform for external apps, and a pro plan that is hard to resist (saves users more money than it asks for, and is directly aligned with user goals).

Built in Go with an API, JS, SQL, and a lot of direct feedback from thousands of users, we are now finishing a mobile app in Native iOS and SwiftUI that needs the same level of expertise or better than what we’ve applied to the rest of the stack. If you are an expert Native IOS and Swift engineer need a few hours of contract work, ping us (mobile@dreamlist.com). If you are someone who believes in our mission and you want to beat the advertising model with something so much better for users (bonus: you get to sleep much better at night, and be seen as Santa’s CTO during the holidays) or you want make sure everyone can leave a legacy for loved ones, ping us as well. (team@dreamlist.com)

Good luck to everyone reading this thread! We love HN serendipity!

Foresight Data Machines | Machine Learning Researchers & Engineers | London, UK | Onsite | Fulltime

Certain essential industrial processes use large amounts of power. We create predictive control software that massively increases the efficiency these processes. Our solution uses cutting edge machine learning combined with physics principles. Our customers include one of the world's largest industrial companies. We are turning our proof of concept into a scalable product.

We are mainly looking for somebody with a strong background in machine learning research/engineering.

The role will involve creating and implementing cutting edge machine learning technology for control of real physics and engineering processes. Relevant topics: Continuous depth neural networks (neural ODEs and related methods); model predictive control; physics informed machine learning; bayesian machine learning.

Applicants should be excited by the prospect of hands-on building in a minimal team. Software development skills are a big plus.

We are open to a range of experience/qualifications, however, all applicants should have evidence of exceptional achievement in a relevant discipline. Send your resume to info [at] foresightdatamachines [dot] com (or see the jobs page for more info https://www.foresightdatamachines.com/jobs)