Senior ML Engineer: Personalization & Real-Time Recommendations

Cosmos; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

PTO + holidays

MacBook Pro

Tech stipend

Team events

Commute covered NYC

Lunch/dinner stipend

Superpower membership

Job summary

Cosmos, based in New York City, is seeking a Machine Learning Engineer specializing in personalization and recommendation systems to join our engineering team in New York City or Warsaw.

You will design, develop, and scale models that personalize content for millions of users, collaborate with product teams, and own end-to-end ML pipelines from data exploration to deployment, with a strong focus on real-time inference and performance.

Qualifications

• 5+ years designing and deploying large-scale personalization and recommendation systems.
• Experience with real-time inference and latency optimization.
• Proficient in Python and cloud platforms (AWS, SageMaker, ECS, EKS).

Responsibilities

• Architect, develop, and scale personalization and recommendation models.
• Collaborate with product engineering to run experiments and improve quality.
• Own end-to-end deployment of ML pipelines from data exploration to deployment.
• Mentor team members and stay current with industry trends.

Skills

Personalization

Recommendation systems

Python

TensorFlow

PyTorch

Real-time inference

Collaborative filtering

Embeddings

Cloud platforms

Tools

TensorFlow

PyTorch

Spark

Flink

Kafka

Snowflake

SageMaker

ECS

EKS

Job description

Cosmos, based in New York City, is seeking a Machine Learning Engineer specializing in personalization and recommendation systems to join our engineering team in New York City or Warsaw.

You will design, develop, and scale models that personalize content for millions of users, collaborate with product teams, and own end-to-end ML pipelines from data exploration to deployment, with a strong focus on real-time inference and performance.