Senior ML Engineer - Personalization & Growth Engines

ByLabs; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

ByLabs in San Francisco is seeking a Senior Machine Learning Engineer to advance a fast-moving personalization stack across multiple live scenarios. You will own and optimize large-scale recommendation systems for Web and mobile, driving stateful models and real-time feature pipelines.

You will lead development in generative recommendations, sequential modeling, and multi-objective optimization, while shaping ML infrastructure and collaborating with cross-functional teams.

Qualifications

• 5+ years of industry experience in recommendation or growth algorithms at consumer-scale internet companies.
• Deep knowledge of two-tower models, sequential models, multi-objective modeling, and reinforcement learning.
• Experience building high-throughput real-time feature pipelines (Kafka/Flink) enabling minute-level updates; contribution to a unified online/offline Feature Store.
• Proficiency in Python and at least one JVM or compiled language (Java, Scala, Go, C++); experience with ML frameworks (PyTorch, TensorFlow, or JAX) and big data tools (Hive SQL, Spark, Flink, or MapReduce).

Responsibilities

• Own the optimization of a large-scale recommendation system across trading product discovery, content feeds, and community content ranking for Web and mobile users.
• Lead personalization model development and iteration across multiple directions—generative recommendation, user sequential modeling, and multi-objective modeling.
• Build growth intelligence systems for churn prediction, upgrade propensity, reactivation likelihood, and LTV prediction models.
• Build the ML infrastructure and model research layer for interactive recommendation and AI-powered personalization, powering real-time ranking and retrieval systems.
• Partner with Growth Product, Data Science, and engineering teams to define success metrics, translate business goals into ML system requirements, and mentor junior engineers.

Skills

Two-tower models

Sequential models

Multi-objective modeling

Reinforcement learning

Python

Java/Scala/Go/C++

Tools

Kafka

Flink

Spark

MapReduce

PyTorch

TensorFlow

JAX

Hive SQL

Faiss/Milvus/HNSW

Job description

ByLabs in San Francisco is seeking a Senior Machine Learning Engineer to advance a fast-moving personalization stack across multiple live scenarios. You will own and optimize large-scale recommendation systems for Web and mobile, driving stateful models and real-time feature pipelines.

You will lead development in generative recommendations, sequential modeling, and multi-objective optimization, while shaping ML infrastructure and collaborating with cross-functional teams.