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Machine learning • hollywood fl
Haystack News is hiring : Senior Machine Learning Engineer in Fort Lauderdale
MediabistroFort Lauderdale, FL, United StatesHaystack News is hiring : Senior Machine Learning Engineer in Fort Lauderdale
Haystack NewsFort Lauderdale, FL, United States- Promoted
Sr Learning Experience Designer
UKGFort Lauderdale, FL, United StatesLearning Architect III
ChewyPlantation, Florida, United StatesLearning Business Advisor
CroweFort Lauderdale FL USLead Customer Learning Architect
Cloud Software GroupFt. Lauderdale, Florida, United States- Promoted
Machine Operator
5TH HEAD QUARTERS LLCFort Lauderdale, FL, US- Promoted
- New!
Machine Learning Engineer - AI Trainer
DataAnnotationFort Lauderdale, FL, US- Promoted
Basic Radiology Machine Operator
American Family Care Hallandale BeachHallandale, FL, USOnline Learning Specialist
BankUnitedMiami Lakes, FLStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseFlorida, United StatesPRESS MACHINE OPERATOR
GotWorx StaffingOPA LOCKA, FL, US- Promoted
Machine Blaster Operator
Steel Fabricators, LLCFort Lauderdale, FL, USEmbroidery Machine Operator
New Era CapOpa-Locka, FL, US- Promoted
Miami Machine Operator - 1st Shift
Kingspan Insulation LLCOpa-locka, FL, US- New!
Machine Operator
AerotekMIAMI LAKES,FL,33014,USA- Promoted
Bilingual Capsule Machine Operator
5TH HQFort Lauderdale, FL, USLearning and Development Administrator
City of Coral Springs, FLFort Lauderdale, FL, United StatesThe average salary range is between $ 78,000 and $ 200,000 year , with the average salary hovering around $ 152,500 year .
- medical director (from $ 100,000 to $ 275,000 year)
- python developer (from $ 100,000 to $ 268,125 year)
- front end engineer (from $ 150,000 to $ 220,000 year)
- product management (from $ 80,000 to $ 212,500 year)
- machine learning (from $ 78,000 to $ 200,000 year)
- machine learning engineer (from $ 78,000 to $ 200,000 year)
- principal engineer (from $ 138,400 to $ 200,000 year)
- infrastructure engineer (from $ 185,000 to $ 197,500 year)
- reliability engineer (from $ 190,000 to $ 197,500 year)
- cloud engineer (from $ 114,000 to $ 195,000 year)
- Grand Rapids, MI (from $ 177,531 to $ 240,706 year)
- Lansing, MI (from $ 109,700 to $ 240,100 year)
- Simi Valley, CA (from $ 136,688 to $ 235,450 year)
- Spokane Valley, WA (from $ 135,458 to $ 234,943 year)
- Charleston, SC (from $ 112,230 to $ 233,350 year)
- Chula Vista, CA (from $ 174,990 to $ 229,500 year)
- Fairfield, CA (from $ 151,875 to $ 227,500 year)
- Sunnyvale, CA (from $ 150,000 to $ 225,000 year)
- Hampton, VA (from $ 107,500 to $ 225,000 year)
- Wichita Falls, TX (from $ 145,250 to $ 223,751 year)
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
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Haystack News is hiring : Senior Machine Learning Engineer in Fort Lauderdale
MediabistroFort Lauderdale, FL, United States- Full-time
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.