Ask HN: Who is hiring? (January 2021)

If you think you might enjoy any of these types of projects, we’d love to hear from you!

* Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.

* Building performant software for billion-scale molecular analyses alongside machine learning engineers.

* Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.

* Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.

* Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform.

* Using a modern cloud-first development stack, giving you access to effectively infinite computing power.

* Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!)

We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership.

If you have any questions or want to apply, please reach out to me at ankit@reverielabs.com (I’m one of the founders), or apply at our website here: https://reverielabs.com/careers.

Hazel Analytics provides data and analytics services to food service/retail companies and related industries, working to improve food safety compliance. Roughly half of the 100 largest food retail chains use Hazel technology, and we proudly count Uber Eats, Instacart, Target, and Starbucks among our customers. In 2019, we won two food safety innovation awards, and we still have big ambitions to keep advancing the state of the art in food safety management. We're also honored to have been recognized by Built in Seattle — two years in a row — as one of Seattle's best small businesses to work for.

We're currently seeking experienced full-stack and back-end software engineers to help us realize our ambitions. Back-end engineers will work predominantly in our Google Cloud Platform environment with Python (Flask), Elasticsearch, PostgreSQL 12 (on Google Cloud SQL), and Docker; full-stack engineers will tend to work a bit less in infrastructure and will add JavaScript (React) to their areas of expertise. We keep processes and meetings to a minimum in order for engineers to stay in the zone. Our team culture is laid-back and friendly, balanced by a strong sense of personal ownership and motivation to deliver; we're a small company, so engineers collaborate closely with non-engineers. People who are eager to mentor junior engineers are strongly encouraged to apply, as are folks with a background in devops, data science, or UI/UX.

Compensation is $110K - $160K (DOE), plus equity and a generous benefits package (including parental leave). We're currently working from home due to the COVID-19 pandemic but planning on an eventual return to in-office work; at present, we're not considering fully-remote team members, but I'll continue to weigh it for the future. We aren't able to provide H1B sponsorship; relocation assistance within the United States is negotiable. These roles are not considered entry-level.

Full-stack candidates: https://jobs.lever.co/hazelanalytics/7c4ae7ec-ed3f-45cf-b2e9...

Back-end candidates: https://jobs.lever.co/hazelanalytics/64f146aa-a334-4491-915d...

(I'm the hiring manager for these roles; I've personally hired and _been_ hired through HN Who's Hiring threads.)

Cortx is a profitable, stable, and growing artificial intelligence startup that is building an NLP product that automatically writes content about any subject with the same level of quality, factual accuracy, and usefulness as a human. This product already has over 2,000 paying subscribers and is quickly growing.

You would be at the intersection of research and production code - taking our research roadmap and helping make it a reality. You will be helping our AI team take nascent research concepts and turn them into state of the art natural language generation. You will be constantly ingesting research papers, building prototypes, and later turning those prototypes into production code.

Our work almost exclusively involves very heavy deep learning (transformers) and we primarily use PyTorch.

You will be working directly with our Founder/CEO (me!), who is leading the AI team, both as a manager and an individual contributor.

We sponsor all visas, including H1B and Green Card, and we pay market rates for SF/NYC despite being located in an area with a significantly cheaper cost of living.

If you have done work with transformers for text generation, information retrieval, or text style transfer (and especially if it has advanced SOTA), we would be very interested in talking with you.

Contact us by emailing alex@cortx.com with "HN" in the subject line.

Nothing to do with the two positions, but have you ever considered a markdown editor? My pipeline is markdown -> pandoc+filters -> latex, so nowadays I only use Overleaf when the papers (or the coauthors) really demands it.