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Senior ML Engineer (Data Scientist)

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Data Science

Date Posted

August 8, 2026

Full Job Description

đź“‹ Description

  • • As a Senior ML Engineer (Data Scientist), you'll help build and scale the data science foundation that powers predictive product simulations, agentic AI capabilities, and next-generation data science infrastructure.
  • • You'll improve data ingestion, experimentation frameworks, and model deployment pipelines — directly enabling data-driven product decisions.
  • • This is a hybrid role based in San Francisco, CA.
  • • Build and optimize data pipelines (ETL/ELT) across SQL/NoSQL systems, ensuring reliability and quality of large-scale event and log data.
  • • Apply statistical modeling, causal inference, and ML to analyze user behavior, design experiments, and generate actionable insights.
  • • Develop predictive, generative, and clustering models — including embeddings, anomaly detection, and time-series — to power simulations and personalization features.
  • • Collaborate with a multidisciplinary team of GenAI experts, behavioral scientists, and ML engineers to create synthetic personas and deliver customer-ready reports and presentations.
  • • Deploy and scale models in cloud environments (AWS, GCP, and/or Azure) using containerized workflows with Docker and Kubernetes.
  • • Design and maintain monitoring and evaluation pipelines to track model performance, detect drift, and ensure fairness and reproducibility.
  • • Scale data science infrastructure end-to-end — from ingestion pipelines through to experimentation frameworks.

🎯 Requirements

  • • 3+ years of experience as a Data Scientist or Machine Learning Engineer.
  • • Hands-on experience building and deploying ML models with PyTorch and TensorFlow; strong proficiency in Python.
  • • Strong ML/DS fundamentals with the ability to translate research insights into product decisions.

🏖️ Benefits

  • • Compensation details were not provided for this role. We're happy to discuss salary expectations during the interview process.

Skills & Technologies

Python
AWS
Azure
GCP
Docker
Data Science
Senior
Hybrid

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About Clera

Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.

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