Software Engineer (Technical Leadership) - Machine Learning Specialist
Meta
Software Engineer (Technical Leadership) - Machine Learning Specialist
Job Description
Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
Locations
- Bellevue, WA, USA
- Redmond, WA, USA
- Menlo Park, CA, USA
- Washington, DC, USA
- New York, NY, USA
- Remote, US, USA (Remote)
Salary
Estimated Salary Rangemedium confidence
18,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning Engineeringintermediate
- Classificationintermediate
- Optimizationintermediate
- Payment Fraud Detectionintermediate
- Click-Through Rate Predictionintermediate
- Click-Fraud Detectionintermediate
- Search Rankingintermediate
- Text Classificationintermediate
- Sentiment Classificationintermediate
- Collaborative Filteringintermediate
- Recommendation Systemsintermediate
- Spam Detectionintermediate
- Social Data Analysisintermediate
- Prediction Modelingintermediate
Required Qualifications
- Experience leading projects with industry-wide impact Experience communicating and working across functions to drive solutions Experience in mentoring/influencing engineers across organizations Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision Experience in driving large cross-functional/industry-wide engineering efforts 12+ years of experience in programming languages (Python, C++, Java or R) with technical background 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience in shipping products to millions of customers or have started a new line of product Experience with Hadoop/Hadoop Base/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence (experience, 12 years)
Responsibilities
- Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features and systems in detail Understand industry & company-wide trends to help assess & develop new technologies Partner & collaborate with organization leaders to help improve the level of performance of the team & organization Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas Suggest, collect and synthesize requirements and create an effective feature roadmap Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Tags & Categories
Software Engineer (Technical Leadership) - Machine Learning Specialist
Meta
Software Engineer (Technical Leadership) - Machine Learning Specialist
Job Description
Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
Locations
- Bellevue, WA, USA
- Redmond, WA, USA
- Menlo Park, CA, USA
- Washington, DC, USA
- New York, NY, USA
- Remote, US, USA (Remote)
Salary
Estimated Salary Rangemedium confidence
18,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning Engineeringintermediate
- Classificationintermediate
- Optimizationintermediate
- Payment Fraud Detectionintermediate
- Click-Through Rate Predictionintermediate
- Click-Fraud Detectionintermediate
- Search Rankingintermediate
- Text Classificationintermediate
- Sentiment Classificationintermediate
- Collaborative Filteringintermediate
- Recommendation Systemsintermediate
- Spam Detectionintermediate
- Social Data Analysisintermediate
- Prediction Modelingintermediate
Required Qualifications
- Experience leading projects with industry-wide impact Experience communicating and working across functions to drive solutions Experience in mentoring/influencing engineers across organizations Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision Experience in driving large cross-functional/industry-wide engineering efforts 12+ years of experience in programming languages (Python, C++, Java or R) with technical background 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience in shipping products to millions of customers or have started a new line of product Experience with Hadoop/Hadoop Base/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence (experience, 12 years)
Responsibilities
- Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features and systems in detail Understand industry & company-wide trends to help assess & develop new technologies Partner & collaborate with organization leaders to help improve the level of performance of the team & organization Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas Suggest, collect and synthesize requirements and create an effective feature roadmap Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Tags & Categories