This is a Fully Remote Job
About Our Client:
Reddit is a platform hosting a vast network of communities centered on shared interests and authentic conversations. With over 100,000 active communities and approximately 130 million daily active unique visitors, it serves as one of the largest sources of information on the internet. The platform addresses challenges in content discovery and user engagement by leveraging machine learning across its ecosystem, including consumer and advertising domains.
About the Opportunity:
The MACHINE LEARNING ENGINEER role focuses on designing and deploying production-grade machine learning systems that enhance user experience and business outcomes at scale. The position involves managing the full machine learning lifecycle to improve content relevance, personalization, advertising effectiveness, and applied AI-driven features, directly impacting the platform's discovery, engagement, and monetization.
Responsibilities:
Design, build, and deploy scalable machine learning models and systems.
Manage the end-to-end ML lifecycle from problem definition to monitoring.
Develop reliable, observable data and model pipelines with automated retraining.
Utilize large-scale datasets to enhance ranking, recommendations, search relevance, and optimization.
Collaborate cross-functionally with product, data science, infrastructure, and engineering teams.
Optimize system performance in terms of latency, throughput, and model quality.
Research and implement advanced ML and AI techniques, including deep learning and large language models.
Contribute to technical strategy, architecture, and long-term machine learning roadmap.
Requirements:
3-5+ years experience in building, deploying, and operating production ML systems.
Proficient programming skills in Python, Java, Go, or similar languages.
Strong understanding of ML algorithms from statistical learning to deep learning architectures.
Hands-on experience with modern ML frameworks like PyTorch or TensorFlow.
Experience designing scalable ML pipelines and model serving infrastructure.
Ability to translate complex product or business problems into technical ML solutions.
Proven impact on measurable metrics through applied machine learning.
Pay Range and Compensation Package:
The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.
Benefits & Perks:
Comprehensive healthcare benefits and income replacement programs.
401(k) plan with employer match.
Family planning support and gender-affirming care.
Mental health and coaching benefits.
Flexible vacation and paid volunteer time off.
Generous paid parental leave.
Equal Opportunity Statement:
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.