Machine Learning Engineer

Posted 2 months agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: San Francisco Bay Area, Seattle, UK, India

💸 Salary: 160000.0 - 218000.0 USD per year

🔍 Industry: B2B technology

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLKerasMachine LearningNumpyProduct ManagementPyTorchAlgorithmsData engineeringData sciencePandasSparkTensorflowCollaborationScala

Requirements:

5+ years in machine learning engineering or a related field, with hands-on experience in deploying production-level models.
Degree in Computer Science, Machine Learning, Engineering, or related fields (e.g., Mathematics, Statistics, Physics).
Demonstrated expertise in deploying and optimizing machine learning models in areas like Ranking & Recommendation Systems, Ad Optimization, Reinforcement Learning, and Experimentation.
Proficient in Python and ML libraries (Scikit-Learn, Pandas, Numpy).
Experience with Scala for data pipeline and optimization.
Familiarity with ML frameworks like TensorFlow, Keras, PyTorch, and SparkML.
Strong SQL and No-SQL database skills.
Google Cloud Platform or AWS experience preferred, along with Spark and BQML.

Responsibilities:

Develop and deploy machine learning models that drive real-time business insights and impact campaign KPIs.
Build robust data pipelines to support ML model training, testing, and deployment at scale, leveraging Python and Scala.
Collaborate closely with data engineering, product management, and UX design teams to ensure seamless model integration.
Implement monitoring systems to evaluate model performance in production and strategize optimization.
Stay updated on industry advancements and integrate new techniques.

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