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Ask HN: Who is hiring? (May 2017)

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Re: Ask HN: Who is hiring? (May 2017)

#451
Le Tote | Software Engineer | SF | https://letote.com/careers

Javascript/ES6, React, Redux, GraphQL, Ruby on Rails

I'm not a hiring manager, but feel free to email me with questions and I can put in your resume. kevin at letote.com

Job post: https://boards.greenhouse.io/letote/jobs/562833

Re: Ask HN: Who is hiring? (May 2017)

#452

SoundHound | All roles: Santa Clara / San Francisco. All engineering roles: Toronto. NLP only: Sacramento / Baltimore | ONSITE - http://soundhound.com/careers I'm an NLU / Data Engineer at SH. We've just raised $75 Million from NVIDIA, Samsung, KP and others to take on Amazon and Google in AI with our "Collective AI" Houndify platform. Our open Houndify platform has the world’s fastest speech recognition and most sop…

Looking for a product manager opportunity. Please check my profile here: https://www.linkedin.com/in/tanima-makkad

Re: Ask HN: Who is hiring? (May 2017)

#453
Cubist Systematic Strategies | Java Developer | New York | Onsite | Full Time

Cubist Systematic Strategies is the systematic investing business of Point72 Asset Management. We deploy systematic, computer-driven trading strategies across multiple liquid asset classes.

We are seeking an exceptional developer to join one of our quantitative trading teams. As a member of this established front-office team, you will work closely with quants and traders on a daily basis and will get exposure to all aspects of quantitative trading business.

The primary responsibilities for this role include real-time data analysis and management, building distributed quantitative trading systems and developing systematic trading strategies for various asset classes (Equities, Futures and Options).

Desirable candidates:

* Very solid knowledge of core Java.

* Significant experience in developing multi-threaded real-time applications on Linux.

* Practical knowledge of scripting languages (perl, python) and SQL.

* Experience with Kafka, Spark or machine learning a huge plus.

To learn more or apply, send an email with your CV to talent@cubistsystematic.com.

Re: Ask HN: Who is hiring? (May 2017)

#454
Cubist Systematic Strategies | Python Developer | New York | Onsite | Full Time

Cubist Systematic Strategies is the systematic investing business of Point72 Asset Management. We deploy systematic, computer-driven trading strategies across multiple liquid asset classes.

We’re looking for a lead developer to:

* Build a robust, scalable research infrastructure, including alpha estimation and risk modeling components

* Develop a seamless platform to handle all aspects of quant trading – model building, optimization, and trade execution

* Build high-performance/low-latency modular systems for live trading and simulation

Desirable candidates:

* Strong programming experience in Python (3+ years) and SQL are required

* High skilled technologist with reasonable quantitative skills

* Experience in developing backtesting, simulation, and trading systems is a plus

To learn more or apply, send an email with your CV to talent@cubistsystematic.com.

Re: Ask HN: Who is hiring? (May 2017)

#455
Cubist Systematic Strategies | Machine Learning Researcher | New York, London | Onsite | Full Time and Interns

Cubist Systematic Strategies is the systematic investing business of Point72 Asset Management. We deploy systematic, computer-driven trading strategies across multiple liquid asset classes.

We’re looking for researchers who have a curiosity about financial markets, a passion for seeing research through from initial conception to eventual application, and a healthy streak of creativity. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers.

To learn more or apply, send an email with your CV to ml@cubistsystematic.com.

Re: Ask HN: Who is hiring? (May 2017)

#456
Connexity | Santa Monica, CA or Camarillo, CA | Full-Time | Onsite

Join a small, tightly-knit Data Science team as we transform our data assets into valuable business products. Although this group of 4 has a great deal of industry experience, we've only worked together in this capacity for about a year. This means that there's still a lot of opportunity and green-field work ahead of us. The position could be described as a Sr. Data Scientist or Machine Learning Engineer. We work with billions of records per day and small hundreds of thousands of (messy!) features. We primarily use Scala/Spark and Python, but we employ R, Ruby, plain old SQL and other tools on a regular basis.

We'd like to find someone familiar with Bayesian systems, Random Forest and other classification. Experience in ad-tech, e-commerce or online retail is a plus, but we strongly favor hiring someone with the right qualities that transcend mere familiarity.

More than anything we value sound judgement. It's great if you have loads of tools in in your tool belt, but you really have to know when it makes sense to use them.

As you get involved with research or optimization work, we want to have confidence that you'll have the right intuition about what questions to pursue and what questions to defer. With our high transaction volume, hundreds of unique models in production and hundreds of thousands of potential features, discernment is an essential virtue. We'll always have 5x more questions and curiosities than we'll have time to chase down. We're looking for that person whose judgement is guided by experience possesses a knack for uncovering valuable, actionable insights.

Within our team I lean strongly toward the engineering side of the spectrum, but I'd be happy to have a conversation about our work. = dlarsen@connexity.com If you're more comfortable going the typical HR route, I can probably streamline the first phases of communication.

Re: Ask HN: Who is hiring? (May 2017)

#457
Smarkets | Full Time | ONSITE (London, UK; now also Santa Monica, California)

We're a modern betting exchange, going technology first to enable proper price competition in a field of fat commissions. Join a small, agile, and fast-growing team, in our beautiful office in St. Katharine Docks. If our US location tickles your fancy, you get to help setting up a brand new office too.

Smarkets develops a reliable, low-latency, highly concurrent betting exchange based on trading exchange designs. We're also building a fast, modern web interface to allow for a smoother experience. Servicing our users is top priority.

The Smarkets platform is written predominantly on Python and Erlang, and relies heavily on asynchronous programming techniques. We use REST where we can. Life at Smarkets circles around people, version control, configuration management and automation. We can - and do - deploy to production several times a day.

Our entire production is in AWS. In fact, Smarkets was the first gambling operator under the Maltese regulator to get permission to run everything in the cloud. We push the envelope where needed and educate auditors when necessary.

We are looking for engineering talent in the following roles:

* Frontend Software Engineers (London, Los Angeles); React knowledge is a plus

* Software Engineers (London, Los Angeles)

* Web Developer, to join our marketing team (London)

* QA Engineer (London)

* Junior and mid-level quants (London)

If you like the idea of flat structure and practical engineering approach, see our jobs at https://smarkets.com/careers/ . (Some time ago I wrote an overview about our engineering challenges, which you can find at https://smarketshq.com/the-challenges-of-running-a-betting-e... .)

Re: Ask HN: Who is hiring? (May 2017)

#458
Udacity | Lead Software Engineer - Data & Senior Software Engineer - Data (2 positions) | Mountain View, CA |FULL TIME | REMOTE, VISA

https://jobs.lever.co/udacity/5e67991b-5203-481d-88d5-49d8c1... https://jobs.lever.co/udacity/0d181f2a-6704-4e61-a176-8b0cb4...

Do you a vision and chops for architecting data infrastructure from scratch?

Data @ Udacity is an small team but we have a lot of exciting challenges. We currently have one engineer on the team and are looking for two (or possibly three) more. The team also has 9 data analysts and a data scientist. Scope of work involves architecting and building data pipelines with tools such as Kafka, Kinesis, Redshift, Airflow etc. We are at the very early stages of engineering design so there's a lot of creative freedom. Come join us and help us meaningfully impact the lives of millions of students across the world.

Udacity has about 25% of employees who work remotely including many engineers. We have a good culture of remote work; you won't be alone working remotely!

- Knowledge of Kafka and Zookeeper. Experience with writing Kafka consumers and/or producers.

- Prior experience with AWS Redshift and/or PostgreSQL preferred.

- Knowledge of Linux, network and file system, and database level troubleshooting.

- Ability to manage, mentor, and grow a team

- Experience in Python/Java.

Please email praveen@udacity.com with your resume and/or questions

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