Senior Recommender ML Engineer — Remote & Generative AI

Factored; Stati Uniti; Remoto; USD 150.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity participation

Annual company retreat

Education bonus

Winter break

Paid time off

In-person events

Career roadmaps

High-performance culture

Descrizione del lavoro

Factored is hiring a Senior Machine Learning Engineer who designs and deploys state‑of‑the‑art recommender systems and generative AI solutions. You will work with Databricks, Spark, and large-scale data to enhance personalized experiences while collaborating with a cross‑functional team.

The role is fully remote from anywhere in the United States, with a strong emphasis on learning, ownership, and growth. You will build scalable ML pipelines, optimize models like Two-Tower and Transformer

Competenze

• Bachelor’s or Master’s degree in CS/Engineering/Math or related field.
• 5+ years of proven experience as a Machine Learning Engineer with ML model development and deployment.
• 1+ year designing, building, and deploying recommender systems (must-have).
• Strong Python with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with large-scale data processing using Spark/PySpark in Databricks.
• Knowledge of recommender techniques: Wide & Deep, Two-Tower, Transformers, embeddings, autoencoders, GRU4Rec.
• Experience with cloud platforms (AWS/Azure/GCP) and Docker is a plus.
• Excellent English communication (verbal and written).

Mansioni

• Design and implement recommender systems to improve product discovery and engagement.
• Build and manage scalable ML pipelines for data, features, training, and deployment (Databricks/Spark).
• Apply and optimize models including Wide & Deep, Two-Tower, Transformers, embeddings, AutoRec, GRU4Rec.
• Collaborate with software engineers, data scientists, and stakeholders to productionize models.
• Monitor and maintain deployed models for reliability and evolving needs.
• Stay updated on advances in ML, recommender systems, and Generative AI.

Conoscenze

Python

Spark

Databricks

TensorFlow

PyTorch

Scikit-learn

Recommender systems

AWS/Azure/GCP

English communication

Formazione

Bachelor’s or Master’s in CS/Engineering/Math

Strumenti

Databricks

Spark

TensorFlow

PyTorch

scikit-learn

GRU4Rec

Two-Tower

NRMS

AutoRec

Descrizione del lavoro

Factored is hiring a Senior Machine Learning Engineer who designs and deploys state‑of‑the‑art recommender systems and generative AI solutions. You will work with Databricks, Spark, and large-scale data to enhance personalized experiences while collaborating with a cross‑functional team.

The role is fully remote from anywhere in the United States, with a strong emphasis on learning, ownership, and growth. You will build scalable ML pipelines, optimize models like Two-Tower and Transformer