Machine Learning Scientist (AI): Developing and deploying production-grade machine learning models to optimize creator workflows and product experiences with an accent on reinforcement learning, recommendation systems, and adaptive decision-making. Focus on building scalable pipelines, designing experiments, and translating complex behavioral data into actionable product insights.
Location: Must be based in Culver City, California, United States
Salary: $167,000–$185,000 per year
Company
hirify.global empowers creators with capital and data insights to scale their programming into sustainable media businesses.
What you will do
Design, train, and deploy production machine learning models including neural networks and ranking systems.
Build adaptive recommendation and personalization systems that respond to creator behavior and feedback.
Apply reinforcement learning and contextual bandits to balance exploration and exploitation in product objectives.
Develop reward models and feedback loops to translate implicit signals into reliable training targets.
Collaborate with product and engineering teams to translate customer challenges into intelligent ML solutions.
Optimize models for accuracy, latency, and production maintainability.
Requirements
Master’s degree or PhD in a quantitative field (Computer Science, Statistics, Mathematics, etc.).
5+ years of experience building and deploying machine learning models in production environments.
Strong proficiency in Python and SQL.
Deep understanding of reinforcement learning, deep learning architectures, and sequence modeling.
Experience with offline evaluation, A/B testing, and causal inference techniques.
Ability to work cross-functionally with product, engineering, and analytics stakeholders.
Nice to have
Experience with large-scale recommendation or ranking systems in consumer marketplaces.
Familiarity with ad recommendation or campaign optimization systems.
Experience serving large-scale ML models in production.
Culture & Benefits
Medical insurance covered up to 100% with dental and vision plans.
401(k) matching and stock options.
Discretionary PTO and complimentary gym access.
Focus on autonomy, continuous learning, and rapid experimentation.
Commitment to a diverse, equitable, and inclusive work environment.
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