Ask HN: Who is hiring? (May 2020)

Living Optics | Software Engineer | Full-time | Oxford, UK

Living Optics is a new Oxford University start-up building next-generation hyperspectral cameras. We are creating a leap forward in our capacity to easily see what is invisible to the naked eye. Using a combination of patented optical methods, machine learning, and advanced applied mathematics, we are radically miniaturizing hyperspectral photography, bringing down costs while improving performance.

We are building a world-class team to bring this vision to life, and we are looking for Software Engineers that are excited for the challenge. As one of the earliest members of the team, this candidate will be ready to excel, will teach and learn from others, and rewarded for their contributions.

Key responsibilities

    Research and development of machine learning models that continually advance the state of the art in image reconstruction
    Using machine learning to expand what is possible with hyperspectral photography including image classification and feature detection

Essential requirements

    Strong grasp of modern deep learning including generative adversarial networks (GAN)
    Hands-on experience building production machine learning systems on cloud infrastructure
    Comfortable diving into the latest research and transferring academic work to real-world systems
    Very creative and ready to think outside the box to improve systems
    Very experienced with Python or similar programming languages
    Strong Computer Science background or similar technical background
    Empathy and readiness to contribute to conversations about company strategy
    Always learning and comfortable with ambiguity

Nice to have

    Experience miniaturizing models for mobile applications using tools like Tensorflow Lite
    Comfortable building tooling to make the team more efficient
    Experience with image processing through machine learning

Remote working: Required during the duration of COVID-19.

To apply, please send your CV to aelnaiem@livingoptics.co.

Cooltrax | Principal IoT Engineer | Melbourne, AUSTRALIA | AU$120-140k, negotiable | ONSITE & WFH | Full-Time | https://cooltrax.com

We’re an industrial IoT company that builds our own hardware and writes software to monitor temperatures, control fridges, and track trailers as they transport goods across the country. We operate in Australia and the United States and have a distributed engineering team with the home base in Melbourne.

We’ve been running our IoT platform for over 15 years and the hardware and firmware have evolved a lot in that time. We now see an opportunity for a major revolution in our hardware based on our market-leading position. We’re developing a new hardware platform running Linux and using this momentum to rethink our IoT backend and database structure. This role will own the firmware and software architecture of this platform, and work closely with the rest of the Engineering team to integrate it all. It's a big ask, but a great opportunity to make an impact and join a growing company in the driver's seat for a key project.

Our technology stack includes Typescript, Postgres, RabbitMQ, Redis, Node, K8S, and Azure. For this project we're inclined to write the platform software in Python, but ultimately - you will make that decision!

If you’re the type of person we’re looking for, you’ll be nodding along to most of these points:

  • You have likely worked in a consulting product development role or as a senior 
    or lead engineer on a commercially released mechatronic device
  • You can read a PCB and datasheets and are fluent in a variety of protocols 
    including Bluetooth (bonus points if you’ve implemented a v5.1 BLE stack!)
  • You know how to write an SRS and detailed design, and then validate a product 
    against it
  • You’ve written firmware and device drivers in the past and are comfortable 
    reviewing and integrating other people’s work in this area
  • You are used to with working with suppliers and development partners
  • You can demonstrate your ability to translate technical concepts into the 
    language needed to work effectively with different types of people

Interested? Email me your resume, GitHub profile, or anything you'd like to showcase. tom.allen@[this-company].com Please specify which position you're interested in, and use the text "HN-Apr-2020" as the subject. You can find the full job specifications below.

Principal Engineer: https://tinyurl.com/ct-pe-apr-2020

I'm the Head of Engineering, and these roles will report to me. Happy to answer any questions!

Hi there

Would you consider off-site remote working? I'm a UK analyst with 12 years of experience

Payitoff | New York, Los Angeles | Software Engineer | Full-time, Remote/Onsite, USA | https://payitoff.io

Payitoff is a Student Loan API that crunches government regulations to save borrowers tens of thousands of dollars on their student loans. We're not a refinancing company. We do the hard work of simplifying the complex world of student loans so borrowers have an ally along their journey to pay it off. Our customers are fintechs, financial advisors, and banks who consume our insights and leverage our infrastructure to provide student loan tools to their users.

We're a small (Our tech stack: Elixir, Postgres.

We're looking for experienced Software Engineers (5+ YOE), preferably with Elixir/Erlang experience who have been impacted by Student Loans (either you, a friend, or loved one). Fintech experience preferred, but not necessary. Also open to the right Product Manager, but as we're an API-driven company this isn't a fit for some.

If interested please contact me directly: desmond [at] payitoff.io

thanks and have fun!

Hyperscience / Sr. Machine Learning Engineer/ Backend Engineer / NYC and Sofia, Bulgaria REMOTE and VISA

At Hyperscience we develop and deliver intelligent solutions to automate manual document processing for global financial services, insurance, healthcare, and government organizations. Founded in 2014, our solution extracts handwritten, cursive and printed typed text at better-than-human levels of accuracy and automation that get better over time. By streamlining operations and reducing the costs associated with data entry, we enable some of the world’s largest companies to improve customer service and drive new business opportunities.

To learn more visit our site: https://www.hyperscience.com/careers/ or by email at mike.bonora@hyperscience.com