Machine Learning Engineer- Remote

Harbor Freight Tools; Calabasas (CA); On-site; USD 111,000 - 166,000; Full time

Job summary

Harbor Freight Tools seeks an experienced ML Engineer to lead the development, deployment, and ongoing support of machine learning operations across the business. You will architect and implement tools for model training, monitoring, feature stores, deployments and maintenance.

The role requires collaboration with data science, IT, software engineering, security, and business partners to deliver robust, scalable ML solutions with strong business acumen.

Qualifications

• Experience building and deploying ML models in production.
• Strong understanding of data warehousing and data modeling.

Responsibilities

• Collaborate with data scientists and IT on Enterprise AI platform development.
• Build and maintain an industry-leading MLOps tech stack.
• Mentor data scientists to ensure best-in-class models.
• Improve scalability, performance, and reliability of models.
• Streamline data ingestion, preprocessing, feature engineering, and training workflows.
• Design, build, and maintain a secure, scalable CI/CD framework for data science teams.

Skills

ML Engineering

MLOps

CI/CD for DS

Tools

TensorFlow

PyTorch

MLflow

Spark

Job description

The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.

Duties and Responsibilities

• Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.
• Build and maintain an industry leading MLOps tech stack.
• Mentor data scientists within the business, ensuring we're building best-in-class models.
• Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.
• Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.
• Design, build, and maintain a secure and scalable CI/CD framework for data science teams.
  

Scope

• Staff supervision and development: No
• Decision making: Recommends policy and resolves problems
• Travel: Up to 5%
• Flex Designation: Anywhere
  

The anticipated salary range for this position is $110,800 - $166,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.