Sr. Staff Machine Learning Engineer, Homefeed
Sr. Staff Machine Learning Engineer, Homefeed
Job Description
Responsibilities
- Improve relevance and the user experience on Homefeed
- Work on state-of-the-art large-scale applied machine learning projects
- Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
- Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
Qualifications
- Languages: Python, Java
- Machine Learning: PyTorch, Tensorflow
- Big data processing: Spark, Hive, MapReduce
- 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
- 7+ years experience with large scale distributed backend service
- Experience in working in Deep learning and Generative AI models
- Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
- Bachelors in computer science or equivalent experience
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
227,871 - 469,147 USD / yearly
Estimated Salary Rangemedium confidence
300,000 - 500,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Javaintermediate
- PyTorchintermediate
- Tensorflowintermediate
- Sparkintermediate
- Hiveintermediate
- MapReduceintermediate
- Recommender systemsintermediate
- User modelingintermediate
- Production ML systems at scaleintermediate
- Large scale distributed backend serviceintermediate
- Deep learningintermediate
- Generative AI modelsintermediate
- Collaboration with product managers and designersintermediate
Required Qualifications
- Languages: Python, Java (experience)
- Machine Learning: PyTorch, Tensorflow (experience)
- Big data processing: Spark, Hive, MapReduce (experience)
- 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale (experience)
- 7+ years experience with large scale distributed backend service (experience)
- Experience in working in Deep learning and Generative AI models (experience)
- Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product (experience)
- Bachelors in computer science or equivalent experience (experience)
Responsibilities
- Improve relevance and the user experience on Homefeed
- Work on state-of-the-art large-scale applied machine learning projects
- Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
- Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
Tags & Categories
Sr. Staff Machine Learning Engineer, Homefeed
Sr. Staff Machine Learning Engineer, Homefeed
Job Description
Responsibilities
- Improve relevance and the user experience on Homefeed
- Work on state-of-the-art large-scale applied machine learning projects
- Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
- Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
Qualifications
- Languages: Python, Java
- Machine Learning: PyTorch, Tensorflow
- Big data processing: Spark, Hive, MapReduce
- 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
- 7+ years experience with large scale distributed backend service
- Experience in working in Deep learning and Generative AI models
- Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
- Bachelors in computer science or equivalent experience
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
227,871 - 469,147 USD / yearly
Estimated Salary Rangemedium confidence
300,000 - 500,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Javaintermediate
- PyTorchintermediate
- Tensorflowintermediate
- Sparkintermediate
- Hiveintermediate
- MapReduceintermediate
- Recommender systemsintermediate
- User modelingintermediate
- Production ML systems at scaleintermediate
- Large scale distributed backend serviceintermediate
- Deep learningintermediate
- Generative AI modelsintermediate
- Collaboration with product managers and designersintermediate
Required Qualifications
- Languages: Python, Java (experience)
- Machine Learning: PyTorch, Tensorflow (experience)
- Big data processing: Spark, Hive, MapReduce (experience)
- 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale (experience)
- 7+ years experience with large scale distributed backend service (experience)
- Experience in working in Deep learning and Generative AI models (experience)
- Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product (experience)
- Bachelors in computer science or equivalent experience (experience)
Responsibilities
- Improve relevance and the user experience on Homefeed
- Work on state-of-the-art large-scale applied machine learning projects
- Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
- Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
Tags & Categories