Machine Learning Engineer

haystacknews· Engineering
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📍 Lima OfficeFullTime

About this role

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.

  • Travel Visa to the US (desired)

Conditions

  • Uber rides to come to the office!

  • Travel to team's offsite events

  • Learn about multiple technologies

Frequently Asked Questions

Is the salary disclosed for the Machine Learning Engineer position at haystacknews?
The salary for this Machine Learning Engineer role at haystacknews is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning Engineer position at haystacknews located?
This Machine Learning Engineer role at haystacknews is based in Lima Office. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Machine Learning Engineer role at haystacknews full-time or part-time?
This is listed as a FullTime position. It is posted as a Machine Learning Engineer role in the Engineering department at haystacknews.
Which team or department does the Machine Learning Engineer at haystacknews belong to?
This Machine Learning Engineer position is part of the Engineering department at haystacknews. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Engineer position at haystacknews?
Click the "Apply Now" button on this page. You will be redirected to haystacknews's official application portal hosted on ashby where you can submit your application directly.
When was the Machine Learning Engineer job at haystacknews posted?
This Machine Learning Engineer position at haystacknews was posted on Apr 21, 2025. Apply as soon as possible — early applications are often reviewed first.
Machine Learning Engineer
haystacknews
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