Hacker News Reader

tjpoutanenon Ask HN: Who is hiring? (February 2023)

Signal 1 | SDE, cyber security, cloud architect | Toronto (hybrid) | https://signal1.ai

Signal 1 is bringing clinical AI solutions to hospitals. Big traction. Saving lives.

We offer a cloud (Azure/GCP) SaaS service delivering realtime predictions to frontline doctors and nurses on patient clinical needs. Stack: Java, Kotlin, PostgreSQL, Docker and Kubernetes.

We are hiring Software Engineers, Cyber Security Specialists, Cloud Platform Engineers, and ML Scientists. Also, Product Marketing Managers and Product Managers.

careers@signal1.ai

tjpoutanenon Ask HN: Who is hiring? (September 2022)

Signal 1 AI | https://signal1.ai | Full Stack Software Engineer | Hybrid in Toronto or Vancouver

Signal 1 is transforming hospital care with AI. Formed out of a partnership between a world-leading applied AI company, Layer 6, and a world-leading research hospital, St Michaels Hospital, Signal 1 provides an end-to-end clinical AI solution that is proven to improve patient outcomes and deliver more effective care.

Required Qualifications:

- 3 years of software development experience. - Proficiency in one or more general-purpose programming languages, such as: Java, C/C++ or C#. - Experience in frontend web development, preferably with TypeScript and React/Redux. - Experience in backend development, preferably with Java and Spring Framework. - Strong understanding of computer science fundamentals such as: software architecture design, data structures, concurrent/parallel programming, networking, and Unix/Linux environments. - Passionate about creating new products, features, and services from scratch while managing ambiguity in fast-paced development cycles.

Full job description: https://radical.getro.com/companies/signal-1/jobs/13736818-s...

Apply: careers@signal1.ai

tjpoutanenon Ask HN: Who is hiring? (June 2022)

Layer 6 (and Signal 1) | ML Scientists and SDEs | Full-Time on-site | Toronto | https://layer6.ai/careers/

Layer 6 is an AI R&D organization with a differentiated AI engine tailor-suited for enterprise data. The platform is the leading AI engine for banking and healthcare applications. Layer 6 powers TD Bank's retail and wholesale operations, with a strong investment in algo trading. Layer 6 also powers clinical AI applications in multiple hospitals through Signal 1 (signal1.ai), which shares the same leadership.

We're hiring ML Scientists, ML Engineers, Back end and full-stack engineers and devops professionals.

careers@layer6.ai

tjpoutanenon Tesla’s new patent involves using table salt to mine lithium

> Looking at inner cities, where most cars are, I don't see the opportunity to put enough charger stations in for everybody. Most cars are parked on the street.

I see a future where autonomous EVs will drive themselves to charging stations, often in the middle of the night. Tesla will get there first.

tjpoutanenon Theories of Error Back-Propagation in the Brain

“You have 3000 input neurons that each makes ~10 synaptic connections with many downstream neurons,” Am I interpreting this correctly: can one neuron make 10 connections to the dendrite of a downstream neuron? Can you share a reference article for this?

tjpoutanenon Google Brain Toronto

Google is one of 11 companies (the platinum level sponsors) that committed $5M to Vector. It's not a Google thing.

The researchers are Vector are free to pursue their own interests, and publish their work like any other academic. Their output is not owned by Google or any of the corporate sponsors.

tjpoutanenon New institute aims to make Toronto an ‘intellectual centre’ of AI capability

It was announced yesterday that Geoff Hinton will lead a google brain lab in Toronto.

tjpoutanenon New institute aims to make Toronto an ‘intellectual centre’ of AI capability

http://vectorinstitute.ai

Scroll down to career opportunities. The research scientist position is advertised as being competitive with industry labs.

tjpoutanenon New institute aims to make Toronto an ‘intellectual centre’ of AI capability

While that may be true for a software engineer the same does not apply to AI talent.

The Vector Institute will offer salaries comparable to top global industrial AI labs. Also the Canadian industry appreciates the value a good data scientist and knows the talent war is global.

tjpoutanenon Ask HN: Who is hiring? (October 2016)

Layer 6 (layer6.ai), Machine Learning Engineer, Toronto

We're looking for two data scientists with deep learning experience to join our team. You will have either a PhD or Masters degree from a relevant field or significant industry experience in recommender systems, NLP and deep learning.

Familiarity with Matlab, Spark, Java and Lucene

careers@layer6.ai

tjpoutanenon Ask HN: Who is hiring? (May 2015)

Milq (milq.com) - TORONTO

Milq is the best place to discover and collect culture.

We're a well funded consumer startup located at Bloor & Avenue Rd. We're looking to add three exceptional people to our team:

SENIOR FULL STACK ENGINEER: familiarity with nodeJS, mongo and redis.

ANDROID ENGINEER: a least two years of Android development experience.

LEAD DESIGNER: mobile-first design methodology.

Send us an email if interested: careers@milq.com

tjpoutanenon Ask HN: Who is hiring? (April 2015)

Milq - TORONTO

Milq is the best place to collect culture (http://milq.com). We're a well funded consumer startup located at Bloor & Avenue Rd.

We're looking to add three exceptional people to our team:

SENIOR FULL STACK ENGINEER: familiarity with nodeJS, mongo and redis.

ANDROID ENGINEER: a least two years of Android development experience.

LEAD DESIGNER: mobile-first design methodology.

Send us an email if interested: careers@milq.com

tjpoutanenon Binary Search Eliminates Branch Mispredictions (2012)

I think the reason it's slower for you is that the CPU pipeline is starved for data... even when it is in the same cache line.

Since we are geeking out on binary search on a Saturday night, here's an approach I developed for traversing multiple binary trees in parallel with SIMD instructions, no branches and data prefetching. It's used at Bing to calculate the document score that ranks Web search results, and traverses thousands of Machine Learning derived decision trees. It resulted in a 4x speedup over the naive approach.

http://web.cse.ohio-state.edu/~ren/papers/CGO13_BinRen.pdf