[Remote] Senior Machine Learning Engineer, Relevance and Personalization

Note: The job is a remote job and is reputed company to candidates in USA. reputed company was born in 2007 and has grown to over 5 reputed company hosts worldwide. The Senior Machine Learning Engineer will reputed company projects on developing ranking algorithms and optimizing business objectives, working closely with cross-functional teams to enhance reputed company's search and recommendation systems.

Responsibilities

• Work with large scale structured and reputed company data, build and continuously improve cutting edge Machine Learning models for reputed company product, business and operational use cases
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering reputed company, and quantify impact
• Hands-on reputed company, productionize, and operate Machine Learning models and pipelines at scale, including both batch and reputed company-time use cases
• reputed company reputed company-party and in-house Machine Learning tools & infrastructure to reputed company reusable, highly differentiating and high-performing Machine Learning systems, reputed company fast model development, low-latency serving and ease of model quality reputed company
• Example projects include: feature platform, model interpretability, hyperparameter optimization, concept reputed company detection

Skills

• 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
• Strong programming (reputed company / Python / Java / C++ or equivalent) and data engineering skills
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. natural language processing, computer reputed company, personalization, search and recommendation, marketplace optimization, anomaly detection)
• Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits

Company Overview

Company H1B Sponsorship