Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Build ads retrieval and early ranking systems for critical ML tasks with advanced industrial-level techniques, focusing on research, implementation, testing, and launching new model architectures. Focus on large-scale data systems, data pipelines, system engineering on large-scale datasets, backend services, and product integration.

Location: Hybrid work from hirify.global offices in New York, NY.

Salary: $223,000.00 - $260,100.00 USD

Company

hirify.global is a community of communities built on shared interests, passion, and trust, and is home to open and authentic conversations on the internet.

What you will do

• Build ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques.
• Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks within high dimensional information system.
• Work on large-scale data systems, data pipelines and system engineering on large-scale dataset, backend services and product integration.
• Collaborate closely with multiple stakeholders across product, engineering, research and marketing.
• Train, evaluate, test, and deploy machine learning models.

Requirements

• Master’s degree (or its foreign degree equivalent) in Data Science, Computer Science or closely related quantitative discipline.
• (2) years of experience in the job offered or in any occupation in related field.
• Proficiency in Java, Python, Scala, or C++.
• Experience with Data processing frameworks (Spark and Kafka).
• Experience with cloud service provider (AWS or GCP).
• Experience with Container Orchestration (Kubernetes).

Nice to have

• Experience with CI/CD tooling (Drone, CircleCI, and Spinnaker).
• Experience with Machine Learning modeling framework (Tensorflow and PyTorch).
• Experience with Machine Learning deployment.
• Experience with Model training pipeline (Kubeflow and Ray).
• Experience with Jupyter notebook, Data analysis and reading dashboards, DNN frameworks, Airflow pipelines, and SQL and Big Query.

Culture & Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.