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Machine Learning Engineer (Mid-Level)

CleraSan FranciscoEngineering
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Salary
Not listed
Job type
Full-time
Experience
Mid · 3+ yrs
Posted
10 Oct 2026
Status
Open · checked 7d ago

About this role

Machine Learning Engineer (Mid-Level) is an on-site position at Clera located in San Francisco, suiting professionals with a background in building and deploying production machine learning systems. This role centers on developing recruitment technology products by managing the full machine learning lifecycle from initial problem definition to production monitoring.

Role Overview

Clera seeks a mid-level professional to construct and implement machine learning infrastructure in San Francisco. The position collaborates directly with product management, engineering teams, and domain specialists to release dependable machine learning features.

Key Responsibilities

Create, train, and assess predictive models for deployment in live environments.
Construct complete operational pipelines handling data ingestion, serving, and system tracking.
Translate product objectives into functional technical architectures.
Troubleshoot and enhance live model efficiency utilizing operational observations.
Develop sustainable code bases and contribute to underlying technical tooling.
Engage in peer code evaluations and collaborative team mentoring.

Requirements

Minimum of 3 years of commercial software or machine learning practice focusing on production deployments.
Employment history emphasizing engineering tasks rather than purely analytical data science.
Finished academic degree combined with applied knowledge of model metrics and validation.
Working command of Python alongside practical usage of TensorFlow, PyTorch, or scikit-learn.
Background in managing deployment workflows, feature preparation, and operational monitoring.
Exposure to MLOps platforms and cloud environments like AWS SageMaker, GCP Vertex AI, Docker, or Kubernetes.
Practical history with experimentation frameworks and live model optimization.
Prior employment within rapidly changing startup environments requiring independent prioritization.

Skills and Tools

Python
TensorFlow
PyTorch
scikit-learn
AWS SageMaker
GCP Vertex AI
Kubernetes
Docker

About the Company

Clera operates in the recruitment technology sector and builds automated systems designed for hiring workflows within a fast-moving environment.

How to Apply

Interested candidates should submit applications directly through the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the position located?

The job is an on-site role based in San Francisco, California, United States.

How many years of experience are required?

Candidates must have at least 3 years of professional machine learning or software engineering experience.

What programming languages and frameworks are needed?

Proficiency in Python is required, along with hands-on experience using TensorFlow, PyTorch, or scikit-learn.

Is remote work permitted?

No, this is an on-site role located in San Francisco.

Ready to apply?

The application is on the official Clera careers page.

Apply on company site