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Haystack News

Machine Learning Engineer in Haystack News

Closed job - No longer receiving applicants

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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 feature at 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

Unlimited vacations :)
Travel to team's offsite events
Learn about multiple technologies

Accessible An infrastructure adequate for people with special mobility needs.
Relocation offered If you are moving in from another country, Haystack News helps you with your relocation.
Pet-friendly Pets are welcome at the premises.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Meals provided Haystack News provides free lunch and/or other kinds of meals.
Paid sick days Sick leave is compensated (limits might apply).
Bicycle parking You can park your bicycle for free inside the premises.
Company retreats Team-building activities outside the premises.
Computer repairs Haystack News covers some computer repair expenses.
Commuting stipend Haystack News offers a stipend to cover some commuting costs.
Computer provided Haystack News provides a computer for your work.
Performance bonus Extra compensation is offered upon meeting performance goals.
Conference stipend Haystack News covers tickets and/or some expenses for conferences related to the position.
Informal dress code No dress code is enforced.
Vacation over legal Haystack News gives you paid vacations over the legal minimum.

Remote work policy

Hybrid

This job takes place some days from home and others at the office in Lima (Peru).

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