Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing and implementing next-generation ML-based systems that power hirify.global's personalization and discovery, with an accent on scalable interfaces and sophisticated model deployment. Focus on improving recommendation systems, analyzing large-scale datasets, and participating in the full software development cycle.

Location: San Francisco, CA, with a full-time telecommuting option available for U.S.-based employees.

Salary: $223,000 - $260,100 USD

Company

hirify.global is a community of communities built on shared interests, passion, and trust, serving as one of the internet’s largest sources of information.

What you will do

• Design and implement next-generation ML-based systems.
• Improve recommendation systems and models that power personalization and discovery.
• Train, evaluate, and deploy sophisticated machine learning models to improve user experiences.
• Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze, and iterate.
• Collaborate across disciplines and with other ML teams to find technical solutions to complex challenges.

Requirements

• Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a closely related quantitative discipline.
• Three (3) years of experience in the job offered or in any occupation in a related field.
• Experience with Recommendation and Ranking System Design and Algorithms.
• Proficiency with PyTorch and Tensorflow.
• Experience with AWS (S3, RDS), GCP (BigQuery), and other cloud environments.
• Ability to write production-grade software for large-scale, real-time recommender systems.
• Advanced Deep Learning theory and algorithms.
• Experience with Microservices architecture and designing and implementing large-scale A/B tests.

Culture & Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs covering workspace, professional development, and caregiving support.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave, Family Planning Support, Gender-Affirming Care, and Mental Health & Coaching Benefits.

Hiring process

• Interviews may be recorded, transcribed, and summarized by artificial intelligence (AI), with an opportunity to opt out prior to any scheduled interviews.
• Personal information collected during the interview will be used to evaluate your application for employment.