ML Engineer: Real-Time Personalization & Recommendations

Deciml; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Deciml is seeking a Machine Learning Engineer in New York to design and deploy recommendation models that power personalised discovery and real-time decision-making.

You will own data pipelines, train on large datasets and collaborate with product teams to deliver low-latency, scalable solutions. Opportunity to apply ML across NLP and reinforcement learning to solve real product problems.

Qualifications

• Experienced ML Engineer with strong algorithms, data structures and statistics.
• Proven ability to build and deploy recommender systems in production with measurable impact.
• Familiar with retrieval, ranking and personalization techniques, embeddings and candidate generation.

Responsibilities

• Design, develop and deploy recommendation models to improve discovery and engagement.
• Build scalable data pipelines and feature engineering on large datasets.
• Develop and optimise ML infrastructure for scalable training and inference in production.
• Collaborate with product teams to integrate models with low latency real-time processing.
• Design experiments and use offline evaluation and A/B testing to measure impact and guide improvements.
• Work across deep learning, NLP and reinforcement learning where applicable.

Skills

Python

Recommender systems

Data pipelines

ML deployment

Tools

TensorFlow

PyTorch

Job description

Deciml is seeking a Machine Learning Engineer in New York to design and deploy recommendation models that power personalised discovery and real-time decision-making.

You will own data pipelines, train on large datasets and collaborate with product teams to deliver low-latency, scalable solutions. Opportunity to apply ML across NLP and reinforcement learning to solve real product problems.