Machine Learning Engineer

At Vyro, we’re building AI-driven products that will shape the next wave of digital experiences. Our team is tackling large-scale machine learning problems that are just as ambitious as those at companies like ByteDance, but with the added advantage of ownership, creativity, and direct impact.

What You’ll Do

• Design, train, and deploy large-scale ML models in recommendation, NLP, computer vision, or generative AI.

• Build end-to-end pipelines from data preprocessing to model deployment in production.

• Optimize systems for low latency, scalability, and high throughput.

• Partner closely with product and engineering teams to turn business problems into ML solutions.

• Run A/B tests and experiments to validate models and continuously improve them.

• Research and implement state-of-the-art ML methods (transformers, GNNs, diffusion models, RL).

What We’re Looking For

• 3+ years of experience as a Machine Learning Engineer (experience at companies like ByteDance, TikTok, Meta, Google, or similar is a plus).

• Strong programming in Python, C++ or Java with ML frameworks (PyTorch, TensorFlow).

• Hands-on experience with recommendation systems, ads ranking, NLP, or computer vision.

• Familiarity with large-scale distributed training and data platforms (Spark, Flink, Ray, Kafka).

• Solid understanding of machine learning fundamentals (optimization, deep learning, probabilistic models).

• Experience deploying ML in production environments with measurable business impact.