WHAT WE ARE LOOKING FOR

• 5+ years of experience in machine learning, with significant experience deploying ML systems into production.
• Strong experience with computer vision, multimodal machine learning, content understanding, recommendation, ranking, fraud detection, trust and safety, or a related applied ML domain.
• Proven ability to independently own complex ML projects from an ambiguous business problem through production launch.
• Strong understanding of model evaluation, including precision and recall trade-offs, threshold selection, calibration, class imbalance, and cost-sensitive decision-making.
• Experience building datasets, labeling workflows, evaluation sets, and feedback loops for continuously improving model quality.
• Experience deploying and operating models at scale, including inference optimization, monitoring, retraining, and incident response.
• Strong Python skills and experience with modern ML frameworks such as PyTorch.
• Ability to work with large-scale data and production systems.
• Strong product judgment and an understanding of how model performance connects to user experience and business outcomes.
• Ability to communicate technical trade-offs clearly to both technical and non-technical stakeholders.

PRODUCTION METRICS YOU MAY OWN

• Precision and recall across different content and policy categories.
• False-positive rates and the percentage of legitimate user generations incorrectly blocked.
• False-negative rates and exposure to policy-violating content.
• User appeal and moderation reversal rates.
• Generation success and completion rates.
• Model inference latency and system availability.
• Cost per classification or generation.
• Manual review volume and operational workload.
• Coverage across new models, formats, markets, and policy categories.
• Impact on user retention, engagement, and conversion.

NICE TO HAVE

• Experience with trust and safety, content moderation, copyright or intellectual property detection.
• Experience working with generative image or video models.
• Experience with vision-language models, embeddings, similarity search, perceptual hashing, or retrieval systems.
• Experience building human-in-the-loop review and annotation systems.
• Familiarity with adversarial behavior, model evasion, abuse patterns, and continuously changing content distributions.
• Experience in a fast-moving startup environment.

WHAT SUCCESS LOOKS LIKE

Within your first months, you will independently take ownership of a high-impact applied ML problem, establish a reliable evaluation baseline, deploy an initial production solution, and create a measurable improvement loop based on real user and business outcomes.

Over time, you will help build a scalable content intelligence and trust and safety platform that supports new models, products, policies, and markets without creating unnecessary friction for legitimate users.

WHAT WE OFFER:

• Competitive base salary in USD
• Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth.
• On-site role in our Almaty office (we will relocate you from anywhere).