Machine Learning Engineer

myBridge Corporation; San Francisco, Northern (CA, KY); Hybrid; USD 144,000 - 176,000; Full time

Benefits offered by this job

401K

Medical Insurance

Dental Insurance

Vision Insurance

Job summary

myBridge Corporation in San Francisco, CA is seeking an experienced Machine Learning Engineer to develop, deploy, and maintain ML solutions that support business and product objectives. You will transform data into predictive models and build production-ready ML pipelines.

The role requires collaboration with data scientists, data engineers, software developers, product managers and stakeholders across the organization.

Qualifications

• Experience building and deploying ML models.
• Strong understanding of ML lifecycle, data preprocessing and model evaluation.
• Background in AI/ ML research or industry applications.

Responsibilities

• Develop and deploy machine learning models.
• Prepare and transform large datasets for training.
• Build scalable ML pipelines for production.
• Evaluate and improve model performance.
• Collaborate with data scientists, engineers and product teams.
• Document machine learning systems and APIs.

Skills

Machine Learning

Education

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence

Master's degree in Machine Learning, AI, or Data Science preferred

Job description

$160,000 Annually

401K, Medical Insurance, Dental Insurance, Vision Insurance

Full-Time | On-site

Why work here

Work with innovative AI technologies and talented data professionals on practical machine learning projects.

Required Skills

Machine Learning Engineer

Industry: Artificial Intelligence / Data Science
Job Type: Full-Time
Location: San Francisco, California, USA
Postal Code: 94105

Job Description

We are looking for an experienced Machine Learning Engineer to develop, deploy, and maintain machine learning solutions that support business and product objectives. The role involves transforming data into predictive models, building machine learning pipelines, evaluating model performance, and deploying AI solutions into production environments.

The Machine Learning Engineer will collaborate with data scientists, data engineers, software developers, product managers, and business stakeholders. The successful candidate should understand the complete machine learning lifecycle, including data preparation, model development, evaluation, deployment, monitoring, and continuous improvement.

Key Responsibilities

• Develop and deploy machine learning models.
• Prepare and transform large datasets.
• Build scalable ML pipelines.
• Evaluate and improve model performance.
• Work with data scientists on productionizing models.
• Implement machine learning APIs and services.
• Monitor models in production.
• Perform model validation and testing.
• Research emerging AI technologies.
• Document machine learning systems.
• Collaborate with engineering and product teams.

Education

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence, or related field.
• Master's degree in Machine Learning, AI, or Data Science preferred.