Senior Machine Learning Engineer

Job Description

Job Description

Haystack News , the number one destination for news on streaming platforms, is looking for a Machine Learning engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in the world.

Join our team at Haystack News as a Senior Machine Learning Engineer and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced machine learning and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.

BASIC QUALIFICATIONS

5+ year professional experience with at least 3 years building large-scale recommender systems (for news feeds, shopping, image, music, video, ads, etc)

Track record of shipping models to real-world applications and making an impact

Experience building and deploying online ML algorithms (e.g. contextual bandits)

Master's degree in Computer Science, Mathematics, Electrical Engineering, Statistics, or Operation Research

Proficient in programming in Python. Additional programming experience in Java, JavaScript, or C++ is a plus.

Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow

Familiarity with common machine learning algorithms, such as GBDT, XGBoost, Random Forest, Logistic Regression.

Experience with SQL (e.g. postgres, snowflake, etc)

PREFERRED QUALIFICATIONS :

2+ years of applied research experience (including research work during PhD)

Experience working with LLMs, Semantic Search and text embeddings (e.g. BERT)

RESPONSIBILITIES :

Work cross-functionally to translate business problems into ones that can be solved using machine learning.

Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.

Develop machine learning models to make recommendations and influence the product roadmap.

Work with other team members to develop key metrics to achieve business outcomes.

Be a champion of AB testing. Design, execute, and analyze experiments to prove product change attribution.