Machine Learning Engineer

Summary

Join Objective, a fully-remote company focused on making search human, as a Machine Learning Engineer to develop the next generation of content understanding, search, and recommendation. You will be responsible for staying up-to-date with the latest research, developing algorithms, running experiments, evaluating approaches, and owning machine learning experiments from idea to deployment. This role is ideal for those who enjoy working quickly, across the stack, and making decisions about the future of the product and technology.

Requirements

• MS or PhD in Machine Learning, Natural Language Processing, Computer Science or related fields
• 5-8 years experience as an Machine Learning Engineer
• Deep experience in deep learning, natural language processing and domain adaptation
• Understanding of unix, tcp/ip networking, storage system performance and concurrency
• You have demonstrated ability to quickly deliver project results in previous work
• Tech stack: Python, Go, Pytorch, Tensorflow, AWS technologies
• 5+ years of experience working with Python
• 5+ years of machine learning experience
• 3+ years working with cloud services (AWS, Lambda, RDS, S3, ECS/EC2, etc.)

Responsibilities

• Stay up to date with the latest academic and industry research, continuously learn and apply cutting-edge techniques relevant to our search and recommendation technology
• Develop efficient and effective algorithms for adapting machine learning models to specific use cases
• Run experiments to optimize quality of deep learning systems
• Systematically evaluate different approaches, build accuracy/performance reports and interpret their potential impact to our customer and business objectives
• Own machine learning experiments from initial idea to successful customer deployment

Preferred Qualifications

• Bonus points for experience working on search, recommendation or personalization products
• Bonus points for experience with multimodal representation learning
• Bonus points for experience training LLMs

Benefits

While we have an office in San Francisco, most of the team operates remotely