Senior Machine Learning / Reinforcement Learning Engineer

Sleek is a company that streamlines operations and elevates customer experience through intelligent automation powered by efficient, reliable, and production-grade ML/RL systems. They are seeking a Machine Learning / Reinforcement Learning Engineer to design, build, and scale next-generation ML/RL systems.

Requirements

• Applied ML in Production: ~5+ years building, training, and shipping ML systems using Python and PyTorch
• Efficient Model Training (SMOL): Experience replacing or augmenting large models with smaller, domain-specific ones using distillation, quantization, or parameter-efficient fine-tuning
• Reinforcement Learning & Test-Time Optimization: Solid RL fundamentals and experience deploying inference-time optimisation systems under latency and cost constraints
• Agentic Systems: Experience building multi-step agents with orchestration concerns and improving their reliability and cost in production
• ML/RL Operational Excellence: Experience with reproducible training pipelines, evaluation, monitoring, and production debugging

Benefits

• Humility and kindness
• Flexibility
• Financial benefits
• Personal growth
• Employee share ownership plan
• Generous paid time off and holiday schedules