Ask HN: Who is hiring? (April 2017)

Whats your email.

I'd like to apply - but my macbook battery caught fire (yes literally) a few days ago and I am on a backup machine... so I dont have a copy of my resume handy which is a required field of yours...

Can I email you please? (Remote devopsy stuffs)

Trialspark | Full-stack engineers, devops engineers, and more | New York City / NYC | Full time https://www.trialspark.com We're a software and technology company that helps accelerate the discovery of new drugs and medical treatments by reimagining the clinical trial process.

We've worked with a range of studies that have helped develop new treatments for diseases such as Ebola, Alzheimer's, and HIV. We are an early-stage company based in NYC looking to hire our first few employees to help us achieve our mission of bringing life saving treatments to patients faster. We offer competitive compensation packages (salary + equity) and benefits.

As an early stage employee, you'll be working directly with the founders and have a strong voice in product and technology decisions.

You'll have ownership over large portions of the product and how it evolves. Ideally you have at least 2+ years of experience. For engineers specifically, you'll be working at all levels of the stack (flask/python + react/javascript).

We'd love to hear from you - apply at https://jobs.lever.co/trialspark or shoot me a message at linhao@trialspark.com!

eBay | www.ebay.com | New York | NYC | Full Time | ONSITE | jobs@ebaynyc.com | VISA ok

We are hiring senior data scientists to change the way eBay does advertising. eBay's old advertising strategy was 3rd party focused (Ads that sent people off eBay). Our CEO said during our last earning call that strategy has changed. eBay needs ads that keep people on eBay and offer better choices for our buyers. We are the team blowing up the old strategy and doing something better. You can move the needle when it comes to eBay's profit. We operate like a small startup but can impact eBay's 100+ million buyers. This is a unique opportunity to learn search engine and recommendation technology which rank eBay's 1+ billion active items. We apply cutting edge machine learning techniques on petabytes of data and thousands of Spark/YARN nodes. This includes deep learning, XGBoost and multi-arm bandits. Our interview consists of two phone screens. Then you come onsite to meet the team and do a code test.

5+ years of Machine Learning experience preferred

jobs@ebaynyc.com | Ask for Mr. Lawn

Brightcove (http://brightcove.com) | London, Boston, Seattle, & Scottsdale | Full-Time | Onsite

We're an online video platform (OVP) headquartered near Boston's South Station (with offices around the world), and power video for many of the world's largest media companies. We work on fun, difficult problems using the latest tech within a casual work environment. We offer a fully stocked kitchen, ping pong/arcade machines, frequent catering, unlimited vacation policy that employees actually use, generous work/life balance, 401k matching, etc. etc.

Boston, MA:

* Senior Node.js Developer (http://grnh.se/3lmrk01)

* Senior Web Developer (http://grnh.se/u7yklt1)

* Principal Systems Engineer (http://grnh.se/ks0upf1)

* Senior Sales Engineer (http://grnh.se/7nwjug1)

* Senior Software Engineer, CMS (http://grnh.se/ceplf81)

* Senior Software Engineer, Zencoder (http://grnh.se/u1nd2g1)

* Principal Systems Engineer (http://grnh.se/ks0upf1)

* QA Engineer Co-op (http://grnh.se/fvk0hj1)

* Software Development Co-op (http://grnh.se/6ogtdv1)

Scottsdale, AZ:

* Principal Software Engineer (http://grnh.se/hts20n1)

* Principal Golang Engineer (http://grnh.se/nr4oac1)

Sprout Social | Senior Data Scientist | Chicago, IL | ONSITE | https://sproutsocial.com

Our team uses Python and its data stack (pandas, numpy, scikit-learn) along with a little Java to drive decisions and power software that is used by more than 17,000 brands around the world. Companies like Microsoft, Zipcar, Hyatt, Google, and Zendesk rely on Sprout to create stronger relationships with their customers through social media.

We’re looking for curious, analytical, and creative people to help utilize the vast amount of data we have. If you love finding ways of using data to build better products and solve problems, we’d love to talk with you.

Responsibilities:

    - Build predictive models in support of product and business goals
    - Conduct research to surface new opportunities and understanding
    - Build tooling for all of the above
    - Mentoring, teaching, and helping to level up the team

Requirements:

    - You have professional experience working on data-driven problems. Examples might be classification, recommendations, churn prediction, topic modeling, fraud detection, etc.
    - You’ve built production machine learning pipelines in Python or Java.
    - You have a strong understanding of statistics (probability, experimental design, bayesian methods).
    - You enjoy thinking about business and product, and how data can be used to inform or improve both.
    - You understand, appreciate, and can explain the tradeoffs between simple methods and complex models.
    - You probably studied a technical, quantitative, or analytical field throughout school, but also might have taken a different route. We’re looking for at least a Bachelor’s degree or equivalent.

Nice to haves:

    - Experience working with text data and using natural language processing methods
    - Experience with Apache Airflow, Spark, or AWS Data Products (EMR, Redshift, Kinesis)
    - Experience with deep learning toolkits, such as Keras, Theano, or TensorFlow