Agreed that PyTorch tutorials are a great place to start. Specific to flexattention, the blog references the accompanying attention gym, which has a series of examples of how to use flex: https://github.com/pytorch-labs/attention-gym/
One contributing factor is that the jetstream is stronger in winter months than summer months. Flights from BOS to SFO are up to 1 hour longer (heading into the jetstream) and 1 hour shorter from SFO to BOS (strong tailwinds).
In winter months, some airline's direct flights have to occasionally land and refuel mid-country[1]. I've experienced this first hand a couple times.
Hi from Asimov! We’re a small team of HNers fueled by a vision to transition synthetic biology to a fully-fledged engineering discipline. Check out some of our work at www.github.com/CIDARLAB/cello and our mission at www.asimov.io/blog
As our user interface technical lead you will have the opportunity to:
* Build reactive, web-based navigation of our genetically-engineered product offerings including those for genetic design, cellular debugging, and biophysical modeling
* Partner with machine learners to architect interfaces for intuitive interactions between humans and artificial intelligence systems
* Define the standards, processes, and portfolio that will drive UI engineering and design growth over the coming years
* Create aesthetically striking and scientifically-accurate visualizations of engineered genetic and cellular systems for product pages, presentations, and blog posts
Perks
* We believe in creating a lifelong company by avoiding burnout and focusing on long term impact
* Above market compensation including significant equity, full medical/dental/vision, flexible PTO, frequent team lunches, happy hours, offsites (borda borg!), Hackathons, snacks and a fully stocked coffee lab
If you’re interested please send me an email at joe@asimov.io or apply online at www.asimov.io/careers
Asimov | Machine Learning Engineer | Boston, MA | Full-time
Hi from Asimov! We’re a small team of HNers fueled by a vision to transition synthetic biology to a fully-fledged engineering discipline. Check out some of our work at www.github.com/CIDARLAB/cello and our mission at www.asimov.io/blog
ML Engineer Prerequisites:
* 4+ years hands on experience as a ML engineer in industry
* knowledge of modern methods in reinforcement learning, graph neural networks, breadth of knowledge across supervised and unsupervised learning and experience applying these models to solve biophysical or bioinformatics problems
Perks
* We believe in creating a lifelong company by avoiding burnout and focusing on long term impact
* Frequent team lunches, happy hours, offsites (borda borg!), Hackathons, snacks and a fully stocked coffee lab
If you’re interested please send me an email at joe@asimov.io or apply online at www.asimov.io/careers
Hi from Asimov! We’re a small team of HNers fresh off of our seed funding lead by Andreessen Horowitz. We’re fueled by a vision to transition synthetic biology to a fully-fledged engineering discipline. Check out some of our work at www.github.com/CIDARLAB/cello and our mission at www.asimov.io/blog
Search Keywords: deep learning, sequence to sequence learning, bioinformatics, cloud infrastructure, python, tensorflow, microservices, biotech, Boston, Cambridge
Prerequisites:
* 4+ years hands on experience as a SWE or ML engineer in industry
* ML engineer: knowledge of modern methods in reinforcement learning, generative adversarial models, breadth of knowledge across supervised and unsupervised learning and experience applying these models in software
* SWE: knowledge of cloud infrastructure, large scale data warehousing, build/test/deploy platform development
Biological data scientist: proficiency in scripting, statistical analysis of genomic data sets, NGS, flow cytometry reads and RNAseq
Excitement to learn a tremendous amount about genetics, bio hacking, genetic circuit design
* Excitement to own your own roadmap and prioritization
Perks
* We believe in creating a lifelong company by avoiding burnout and focusing on long term impact
* Frequent team lunches, happy hours, offsites (borda borg!), snacks and a fully stocked coffee lab
If you’re interested please send me an email at joe@asimov.io or apply online at www.asimov.io/careers
Hi from Asimov! We’re a small team of HNers fresh off of our seed funding lead by Andreessen Horowitz. We’re fueled by a vision to transition synthetic biology to a fully-fledged engineering discipline. We’re building our our initial software team and need help with everything at the intersection of infrastructure, software systems, data ingestion and storage and machine learning for predicting optimal genetic circuit design. Check out some of our work at www.github.com/CIDARLAB/cello and our mission at www.asimov.io/blog
Search Keywords: deep learning, sequence to sequence learning, bioinformatics, cloud infrastructure, python, tensorflow, microservices, biotech, Boston, Cambridge
Prerequisites:
* 4+ years hands on experience as a SWE or ML engineer in industry
* ML engineer: knowledge of modern methods in reinforcement learning, generative adversarial models, breadth of knowledge across supervised and unsupervised learning and experience applying these models in software
* SWE: knowledge of cloud infrastructure, large scale data warehousing, build/test/deploy platform development
* Excitement to learn a tremendous amount about genetics, bio hacking, genetic circuit design
* Excitement to own your own roadmap and prioritization
Perks:
* Flexible working hours, develop when you are most productive
* We believe in creating a lifelong company by avoiding burnout and focusing on long term impact
* Frequent team lunches, happy hours, offsites (borda borg!), snacks and a fully stocked coffee lab
* Cross pollination: We’re an awesome team of scientists and engineers from diverse technical backgrounds. Learn cutting edge synthetic biology from world experts!
If you’re interested please send me an email at joe@asimov.io or apply online at www.asimov.io/careers
Hi from Asimov! We’re a small team of HNers fresh off of our seed funding lead by Andreessen Horowitz. We’re fueled by a vision to transition synthetic biology to a fully-fledged engineering discipline. We’re building our our initial software team and need help with everything at the intersection of infrastructure, software systems, data ingestion and storage and machine learning for predicting optimal genetic circuit design. Check out some of our work at www.github.com/CIDARLAB/cello and our mission at www.asimov.io/blog
Search Keywords: deep learning, sequence to sequence learning, bioinformatics, cloud infrastructure, python, tensorflow, microservices, biotech, Boston, Cambridge
Prerequisites:
* 4+ years hands on experience as a SWE or ML engineer in industry
* Excitement to learn a tremendous amount about genetics, bio hacking, genetic circuit design
* Excitement to autonomously improve our product with your experience in designing software and/or ML systems
Perks:
* Flexible working hours, develop when you are most productive
* We believe in creating a lifelong company by avoiding burnout and focusing on long term impact
* We value impact over hitting arbitrary deadlines
* Frequent team lunches, happy hours, and a coffee lab
* Cross pollination: We’re an awesome team of scientists from diverse technical backgrounds
If you’re interested please send me an email at joe@asimov.io or apply online at www.asimov.io/careers
Quora | ML Engineer | Mountain View ML, Python, C++, TensorFlow, Spark, Information Retrieval
Quora’s mission is to share and grow the world’s knowledge. We are an internet-scale Library of Alexandria, a place where people go to learn about anything and share everything they know. At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection etc. Within the past few months we released a large duplicate question dataset [1], built out Quora on Alexa and Google Home [2] and linked Quora Topics to Wikidata [3]. As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
Please submit online at the link above and mention my HN user name.
[1] data.quora.com/First-Quora-Dataset-Release-Question-Pairs
[2] blog.quora.com/Introducing-Quora-on-Voice
[3] blog.quora.com/Announcing-Wikidata-References-on-Topics
