Ask HN: Who is hiring? (March 2016)

Instacart | San Francisco,CA | Full-Time | Onsite

The Data & Analytics team at Instacart is new and you will have the opportunity to shape its direction as one of our Senior Data Engineers and create large impact.

What You’ll Be Doing

The ideal candidate is able to build and maintain a robust, scalable and sustainable enterprise data platform. Furthermore, s/he is well versed in the best practices of data warehousing, but is flexible enough to think outside the box whenever necessary. The Data Engineer should be no stranger to high-scale systems with complex data models and large amounts data coming form various sources.

Work closely with the analysts and business stakeholders to gather technical requirements Provide senior-level contribution to a team responsible for the design, implementation, deployment and maintenance of a multi-terabyte data platform Contribute the continual improvement of the Instacart data platform via your observations and knowledge gained from your involvement and KPI's Work in a collaborative environment -- meetings, iterative development and design and code review sessions What You Should Already Have

Expert level proficiency in SQL. Ability to perform complex data analysis with large volumes of data Working experience with variety of data storage technology, including columnar databases and Hadoop ecosystem Experience in data warehousing including dimensional modeling concepts Proficiency in at least one of the scripting languages: Perl, Python or others Real-time data pipeline construction (like Kafka) a plus Machine learning experience a plus Experience building consumer facing data products (like recommendations or productionalized algorithms) a plus Experience in object-oriented programming is a plus

If Interested email: derrick@instacart.com

Sure, my bad. I thought my email id would be available at my github profile.

Princess Margaret Cancer Centre: Postdoctoral fellowships in computational biology and machine learning - http://pmgenomics.ca/hoffmanlab/join/

Toronto, ON

The Hoffman Lab at the Princess Margaret Cancer Centre and the University of Toronto, seeks new members for our team. We develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight. A key focus of the lab is to train a new generation of computational biologists.

We seek postdoctoral fellows for several projects in computational genomics and machine learning. Selected projects include:

1. Integrating epigenomic and sequence data to better understand human gene regulation.

2. Creating models of transcription factor binding that allow us to predict the effects of perturbations.

3. Developing deep learning techniques to find novel behavior in multiple functional genomics datasets.

Required qualifications: Doctorate in computational biology, computer science, electrical engineering, statistics, or physics, obtained within the last five years. Submitted first-author or joint first-author papers in genomics or machine learning research. Experience in scientific programming in a Unix environment.

Not required, but preferred qualifications: Experience with epigenomics and graphical models. First-author papers published in peer-reviewed journals, refereed conference proceedings, or a pre-print archive. Experience programming in Python, R, C, and C++.

Benefits: Includes extended medical insurance, dental insurance, maternity benefits (15 weeks), parental benefits (additional 35 weeks), child care program (fee applies), Canada Pension Plan contributions, and employment insurance. Flexible work hours.

We will consider candidates who need a VISA to work in Canada. We are especially interested in candidates who are women or members of underrepresented minorities.

To apply: We will accept applications until the position is filled. Please submit your CV (as PDF), one representative paper (as PDF), the URL of a code sample, and the names, email addresses, and phone numbers of three references to the address at http://pmgenomics.ca/hoffmanlab/join/#postdoc

Sounds good, look forward to it!

Permutive (YC S14) | London, UK | ONSITE | http://permutive.com

We're building the infrastructure for event-based personalization.

Our API lets you collect, retrieve, and query your users' behavior in realtime. It's the easiest way to integrate behavioral data into your product: we handle the collection of every user's interaction and provide a flexible query layer to react in realtime to their events.

We're looking for full-stack engineers to design and develop our core product. You'll be responsible for tackling and owning hard technical problems end-to-end. You should have experience and interests in some of the following:

* Working extensively in functional languages: we use Haskell, Scala (with scalaz), and Elm

* Building large-scale distributed systems: we run a stream data pipeline on AWS with Kinesis, EC2, DynamoDB, Postgres, S3, and friends

* Data engineering, particularly stream processing and applied ML, e.g. recommender systems for personalization

* Developing and scaling APIs and frontend products

We're an early-stage VC-backed startup with some of the top investors in London and Silicon Valley, including Y Combinator. Because we're a small team, you'll play a central role in everything — from product to company culture. We offer competitive salaries, equity, and bad jokes.

If you're interested, email us at jobs@permutive.com with your CV and anything else you think would be important for us to know!