ML Engineering Manager jobs in United States
cer-icon
Apply on Employer Site
company-logo

White Cap · 18 hours ago

ML Engineering Manager

White Cap is a company committed to Building Trust on Every Job, fostering a diverse and exciting work environment. The ML Engineering Manager will lead a team of engineers to operationalize data science models, ensuring they are transformed into scalable, production-ready systems while enhancing the organization's data-driven capabilities.

Building MaintenanceConstructionManufacturingService Industry
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Leads, mentors, and manages a team of engineers, fostering a collaborative and innovative environment. Oversee performance evaluations and support the professional development of team members to ensure high productivity and morale
Responsible for leading the deployment of data science models into production environments, ensuring scalability, reliability, and efficiency. The manager oversees the transformation of prototype models into production-ready solutions, implementing best practices for continuous integration and continuous deployment (CI/CD)
Designs and develops engineering solutions that support data science initiatives. Collaborates closely with data scientists to translate models into robust, scalable systems and build infrastructure that enhances the organization's data-driven capabilities
Provides technical guidance on software engineering and machine learning practices, the manager ensures code quality, maintainability, and adherence to industry standards. Stay updated on emerging technologies and methodologies to incorporate best practices into the team's workflows
Works closely with data science, IT, and product teams to align engineering efforts with organizational goals. Communicates complex technical concepts to non-technical stakeholders, facilitating collaboration across departments to drive project success
Manages computing resources, cloud services, and infrastructure necessary for machine learning operations, optimizes resource utilization and cost efficiency. Ensures the team has the necessary tools and environments to perform effectively

Qualification

PythonCloud infrastructureCI/CDBig data technologiesSoftware engineeringCloud platformsLeadershipCollaborationCommunication

Required

Typically requires BS/BA in a related discipline
Generally 7+ years of experience in a related field
May require certification
Advanced degree may offset less experience in some disciplines

Preferred

3 years' experience in a managerial or leadership role overseeing engineering or software-based teams
Proven track record of successfully delivering engineering and production solutions that are scalable and sustainable
Expertise in Python
Knowledge of big data technologies and platforms like Hadoop, Spark, and Databricks
Experience in managing complex projects involving cloud infrastructure, CI/CD, and model monitoring
Strong background in collaborating with cross-functional teams and effectively communicating complex technical concepts to non-technical stakeholders
Staying current with industry trends and emerging technologies in machine learning is expected to ensure the team remains at the forefront of innovation
Proficiency in cloud infrastructure, deployment pipelines, and software engineering
Proficiency in cloud platforms such as Microsoft Azure and Amazon Web Services (AWS)
Advanced degree in Computer Science, or related field preferred

Company

White Cap

twittertwittertwitter
company-logo
White Cap is a distributor of specialist hardware equipment and supplies for large and medium sized contractors.

H1B Sponsorship

White Cap has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (1)
2023 (1)

Funding

Current Stage
Late Stage
Total Funding
unknown
2020-08-01Acquired

Leadership Team

leader-logo
Alan Sollenberger
Chief Executive Officer
linkedin
leader-logo
Tracy Rosser
Chief Supply Chain Officer
linkedin
Company data provided by crunchbase