Senior to Mid-level Machine Learning Engineer (AI)

TL;DR

Senior to Mid-level Machine Learning Engineer (AI): Building and deploying ML models for content moderation and safety across modalities like text, voice, and images with an accent on multilingual text classification, language modeling, and multi-modal learning. Focus on creating metrics and configuring A/B testing to evaluate model performance offline and online to inform and convey impacts to diverse groups of stakeholders.

Location: San Mateo, CA. This role follows a hybrid working policy.

Salary: $187,400–$281,200 USD

Company

hirify.global is an interactive entertainment company committed to building a safe ecosystem for its users through innovative technology.

What you will do

• Build and deploy ML models to detect offensive content in areas like abuse and child safety across text, voice, and images.
• Work with state-of-the-art machine learning and deep learning technologies for multilingual text classification, language modeling, and multi-modal learning.
• Create metrics and configure A/B testing to evaluate model performance offline and online.
• Maintain and produce reusable code in Python, Scala, or Java according to standard methodologies and best practices.
• Collaborate with cross-functional technical and non-technical teams in architecture, design, and code reviews.

Requirements

• Master's degree in CS/Statistics/Data Science with a specialization in machine learning, or equivalent technical degree with experience.
• 5+ years of experience in applied machine learning or related fields with strong NLP, statistical, and analytical knowledge.
• 3-5 years of prior experience in Trust and Safety or using ML to solve content moderation problems.
• Experience with Python, Scala, or Java.
• Experience in developing production-level large-scale ML models and data pipelines.
• Industry work experience designing and implementing machine learning-based solutions, ideally including online safety, voice-activated conversational systems, time series forecasting, and A/B testing.

Nice to have

• Prior work in content moderation ML, security, fraud detection, or adversarial ML.
• Prior experience working with Computer vision and voice-related tasks.
• Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlib.
• Experience with Spark, Kubernetes, Jenkins, Prometheus.
• Familiarity with best practices in large-scale Deep Learning training/Inference.
• Experience in cloud-based environments, such as AWS.
• Experience working with custom ML platforms.

Culture & Benefits

• Comprehensive top-tier benefits package including medical, dental, and vision.
• Matching 401(k), paid time off, and a wellness program.
• Coveted employee discounts for Sony products.
• Opportunity to be eligible for a bonus package.
• Commitment to creating an inclusive environment, empowering employees, and embracing diversity.