Machine Learning Engineer

At Softoryze, we turn data into dependable, production-grade intelligence. As a Machine Learning Engineer, you'll build and ship the models and pipelines that power intelligent automation for our clients.

Our mission is to redefine how organizations work in the age of intelligent automation — replacing repetitive effort with systems that think, learn, and evolve.

We value precision, curiosity, and collaboration, and we build systems that are smart, adaptable, and deeply human in their intent.

What we look for

• Strong ML fundamentals. You understand modern architectures, training, evaluation, and the tradeoffs between them.
• Production mindset. You've deployed models to real users, with monitoring, evals, and continuous improvement.
• Data engineering. You're comfortable building reliable pipelines and working with messy, real-world data.
• LLM & RAG experience. You've worked with embeddings, retrieval, and orchestration frameworks.
• Collaboration. You communicate clearly and work well across engineering, product, and clients.

What we offer

• Impactful work. Your models will run in production for leading companies across industries.
• A world-class team. Learn alongside senior AI engineers and architects every day.
• Ownership. Lead experiments, make model decisions, and see them ship.
• Competitive pay and equity that scale with your impact.

Before you apply

If you've previously applied to Softoryze, we recommend waiting six months before reapplying.

We're an ambitious, fast-moving company. Expectations are high, but so are the rewards.

If this sounds like your next challenge, we'd love to hear from you.