Ask HN: Who is hiring? (February 2017)

Signifyd is a 115-person startup that was named one of the 50 most innovative Fintech companies of 2016 by Forbes, and our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.

We are hiring back-end, front-end and machine learning engineers that want to take their skills and experience and applying them to the fraud domain to combat online transaction fraud and make the world of e-commerce a better place.

Our stack: Java, Python, Cassandra, MySQL, Solr, Apache Spark, Play! framework, Linux, Docker, AWS

Our recruitment process is as follows: - Phone interview - At home code test - On-site interview

For more information and to apply: Back End Engineer - https://www.signifyd.com/careers/?gh_jid=44015 Machine Learning Engineer - https://www.signifyd.com/careers/?gh_jid=567011 Front End Engineer - https://www.signifyd.com/careers/?gh_jid=134954

We are a small team (6) building tools to change the way businesses communicate with customers. Our product, Rep, combines customer context, machine learning, and a slick app that enables organizations to build meaningful relationships through mobile and desktop messaging.

We're actively looking for builders — folks that want to contribute more than code. Your specialization is less important than your desire and ability to learn fast and adapt to shifting technologies.

We're founded by ex-Googlers with deep experience in messaging, personalization, and machine learning, and we're backed by some of the top investors in Silicon Valley: Accel Partners, First Round Capital, SV Angel, and Forerunner Ventures.

We offer competitive salaries, meaningful equity and generous health, dental and vision benefits. If you are a member of an underrepresented group in technology, we strongly encourage you to apply.

Technologies: Python, Postgres, WebSockets, React, Redux, ML, etc.

Drop us a note at hi@menschlabs.com with a link to your LinkedIn, a resume, or anything else we should know. We’ll get back to you quickly!

--

p.s. I love working here. The team is smart and talented but also deeply good, respectful, and empathetic.

DataKitchen, Inc. enables analytic teams to deliver value quickly, with high quality, using the tools that they love. DataKitchen provides the world’s first DataOps platform for data-driven enterprises, enabling them to support data analytics that can be quickly and robustly adapted to meet evolving requirements. DataKitchen is leading the DataOps movement to incorporate Agile Software Development, DevOps, and manufacturing based statistical process control into analytics and data management. Our company is profitable, stable, rapidly growing and stock will be part of the package.

At DataKitchen, we have a lot to say about DataOps, but speak in code. Help us create documentation of our product, command line, configuration, and REST APIs. Part time schedule is an option for this position. Qualifications: Experience as a technical writer. Ability to work independently. A background in data/analytics is a plus. Some programming background. Bachelor’s Degree in English, Journalism or equivalent.

We offer very competitive pay, benefits like a company funded 401K, experienced team (we all code), amazing customers, equity, and a cool office location.

Contact info@datakitchen.io

News: The headquarters are moving to San Mateo and will be 26 minutes by Caltrain from San Francisco or Palo Alto (free unlimited pass.)

1) Medallia powers reports and surveys for hundreds of the world's best companies like AirBnB, Hilton, Vanguard, Mercedes-Benz, Four Seasons, Nordstrom, and Delta Airlines.

2) Sequoia recently invested more money into Medallia than they ever have in any company.

3) We use many technologies and tools on various teams, such as Java, Angular.JS, and React Native. We host some customers on AWS but the majority use our own scalable platform. Please send me your resume and I'll make sure it gets looked at: email (my HN username) @ medallia.com

- Vlad

  Swift Navigation | SF | Hardware/Infrastructure/Scientific Software Jobs | INTERNS / VISA

  Swift Navigation is looking for firmware, scientific tooling, and infrastructure
  software engineers to work with us on high-precision GPS receivers
  (https://github.com/swift-nav/). We're shipping this week (!) the world's first
  low-cost, multi-constellation, inch-accurate satellite navigation receiver for
  autonomous vehicle applications. Questions? Email Buro (mookerji@swiftnav.com)
  or Margaret (jobs@swiftnav.com) or apply to https://jobs.lever.co/swift-nav.

  + Firmware (Production embedded programming on the Zynq platform, FPGA-based
    DSP, C, C++, Python, VHDL, real-time Linux).

  + Scientific Python Tooling (production scientific Python for product
    prototyping, testing, and analysis).

  + Web and internal platform infrastructure (front ends, rear ends, services,
    production programming, Haskell, Python, JS, C++, containerized distributed
    workflows, etc. etc. etc.).
 
  + Interns with interesting project experience in any of the above, or interested
    in hacking together hardware/software demos for new applications, integrating
    UAV autopilots.

  Our interviews have a few steps: an intro phone call, technical phone screen or
  take home problem, and an onsite. Our technical interviews aim to fairly assess
  your skills and also preview our own day-to-day work.

  Satellite navigation is a rich problem space! Our 40 (??!) person group in the
  Civic Center neighborhood of San Francisco is spread across analog/RF/digital
  hardware design and embedded systems, statistics, satellite navigation,
  functional programming, and web infrastructure. Our work is highly
  interdisciplinary with an environment emphasizing effective communication,
  collaboration, and inclusion with a flexible working policy.