Machine Learning Engineer (Personalization)

Location: Almaty, Kazakhstan; fully on-site in the Almaty office five days per week for the full working day.

Salary: Competitive base salary in USD, based on experience, skills, and role scope.

Company

hirify.global builds generative AI tools for video creation and next-generation creative experiences, serving millions of users and major global brands.

What you will do

• Build recommendation and ranking systems for effects, presets, templates, models, prompts, and post-generation experiences.
• Develop uplift models for discounts, vouchers, trials, upgrades, and win-back campaigns, supported by randomized holdouts and permanent experiments.
• Build churn, downgrade, and repeat-purchase propensity models and connect every model to an intervention and experiment.
• Create multimodal features and intent taxonomies from prompts, images, videos, outputs, model parameters, and generation outcomes.
• Own models end to end, including problem framing, feature engineering, training, offline evaluation, serving, monitoring, retraining, and production experimentation.
• Track model value in revenue, retention, margin, and abuse constraints while collaborating with Legal on personalization requirements.

Requirements

• Experience shipping machine learning models to live user traffic and changing business metrics.
• Depth in at least two areas: recommender systems, learning-to-rank, uplift and causal machine learning, churn or propensity modeling, or real-time personalization.
• Strong causal literacy, including randomized holdouts, incrementality, Qini/uplift evaluation, and selection effects.
• Strong Python and SQL skills, with experience in gradient boosting, neural ranking, feature pipelines, training-serving skew, latency budgets, and retraining.
• Product judgment, pragmatic delivery, and the ability to define the decision and metric before selecting a model.
• Clear written and spoken English at B2+ level; willingness to work on-site in Almaty five days per week.

Nice to have

• Experience working with images and video as data.
• Background in consumer-scale recommender systems, growth or monetization ML, causal inference, uplift modeling, or applied science.
• Experience in subscription products, gaming, fintech, or e-commerce.

Culture & Benefits

• Equity participation through the company’s stock option program.
• Relocation support to Almaty for candidates moving from another city or country.
• Company-provided equipment, meals, transportation, and other office benefits.
• Opportunities for professional growth, ownership, and career development.
• Collaborative, fast-paced in-person environment with direct access to experienced leaders.