Haystack News

Machine Learning Engineer in Haystack News

FULL_TIME

    Remote | Semi Senior | Full time | Machine Learning & AI

23 applications
Replies between 1 and 3 days
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Haystack News is the leading local & world news service on Connected TVs reaching millions of users! This is a unique opportunity to work at Haystack News, one of the fastest-growing TV startups in the world. We are already preloaded on 37% of all TVs shipped in the US!
Be part of a Silicon Valley startup and work directly with the founding team. Jumpstart your career by working with Stanford & Carnegie Mellon alumni and faculty who have already been part of other successful startups in Silicon Valley.
You should join us if you're hungry to learn how Silicon Valley startups thrive, you like to ship quickly and often, love to solve challenging problems, and like working in small teams.
See Haystack's feature at this year's Google IO: https://www.youtube.com/watch?v=-YawUi6qPck

Job functions

We are looking for an outstanding machine learning engineer to join Haystack and help improve the experience of millions of users that rely on Haystack to get the news every day.
Within the team you’ll find many opportunities to work on various aspects of Machine Learning and Data Engineering. The job offers the opportunity of generating a major impact on the product while working with an awesome and talented team, using the latest technologies.
You will:
  • Analyze large data sets to get insights using statistical analysis tools and techniques
  • Build, evaluate and deploy machine learning models
  • Maintain ongoing reliability, performance, and support of the data infrastructure, providing solutions based on application needs and anticipated growth.
  • Work with tools to configure, monitor and orchestrate data infrastructure and pipelines.
  • Run and monitor AB Tests
  • Build and manage APIs

Qualifications and requirements

  • Bachelor's degree in Computer Science, Statistics, Math or related field.
  • 3+ years experience writing software in a professional setting
  • Knowledge of AWS and Python
  • Strong Math/Stats background with statistical analysis experience on big data sets
  • Experience with SQL and NoSQL (e.g. MongoDb or DynamoDB)
  • Big Plus: Experience with data warehouses (e.g. Snowflake, Big Query, Redshift)
  • Exposure to ML/AI libraries such as sklearn, LightGBM and, XGBoost.

Conditions

Fully remote You can work from anywhere in the world.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Computer provided Haystack News provides a computer for your work.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

About Haystack News

Haystack News is one of the fastest-growing companies in the connected TV space. — Haystack News's full profile

Machine Learning Engineer
Haystack News •     Remote
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Requires applying in English