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6 Vanguard Machine Engineer Jobs Hiring Near You

Vanguard

Machine Learning Engineer, Specialist

Dallas, TX · On-site

$113.30K - $136K/yr

Performs the development and programming of machine learning integrated software algorithms to ... About Vanguard At Vanguard, we don't just have a mission--we're on a mission. To work for the ...

Vanguard

Senior AI/ML Scientist

Dallas, TX

Develops complex queries and performs extensive programming to access, transform, and prepare data ... About Vanguard At Vanguard, we don't just have a mission--we're on a mission. To work for the ...

Vanguard

Marketing Strategy Lead Analyst

Malvern, PA · On-site

At Vanguard Personal Investor Marketing, we're on a mission to help individuals achieve financial ... world-class investment products and services. Our team plays a critical role in shaping how we ...

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Vanguard World Jobs Information

What are the key skills and qualifications needed to thrive as a Machine Engineer, and why are they important?

To thrive as a Machine Engineer, you need a solid background in mechanical engineering principles, problem-solving skills, and typically a bachelor’s degree in mechanical or related engineering fields. Experience with CAD software, PLC programming, and familiarity with industry standards or certifications like Six Sigma are often required. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this field. These competencies are crucial for designing, optimizing, and maintaining machinery to ensure efficient and safe operations in manufacturing environments.

What are the typical collaborative interactions a Machine Engineer has with other departments?

Machine Engineers frequently work alongside cross-functional teams, including production, quality assurance, and maintenance. They often collaborate with design engineers to refine machine specifications and with operators to ensure equipment runs smoothly. Regular communication with procurement and supply chain teams is also common to coordinate the sourcing of machine components and materials. This collaborative approach helps ensure that machinery meets both operational and safety standards while aligning with overall production goals.

What are Machine Engineers?

Machine Engineers are professionals who design, develop, test, and maintain machinery and mechanical systems used in various industries, such as manufacturing, automotive, and robotics. They apply principles of mechanical engineering, mathematics, and physics to solve problems related to machines and their components. Machine Engineers may work on improving existing equipment, developing new machines, or overseeing the installation and operation of machinery. Their responsibilities often include creating technical drawings, selecting appropriate materials, and ensuring machines operate safely and efficiently.

What is the difference between Machine Engineer vs Mechanical Engineer?

AspectMachine EngineerMechanical Engineer
Required CredentialsBachelor's in Mechanical, Electrical, or Industrial Engineering; certifications varyBachelor's in Mechanical Engineering; often includes licensure
Work EnvironmentManufacturing plants, industrial facilities, machinery designDesign offices, research labs, manufacturing settings
Industry UsageHeavy machinery, automation, manufacturingAutomotive, aerospace, robotics, product design

Machine Engineers focus on designing, maintaining, and improving machinery and automation systems, often working directly with manufacturing equipment. Mechanical Engineers have a broader scope, working on product design, thermodynamics, and structural analysis across various industries. Both roles require strong engineering fundamentals, but Machine Engineers typically specialize in machinery operation and optimization, while Mechanical Engineers work on a wider range of mechanical systems.

What is it like to work at Vanguard?

Vanguard is known for its collaborative and client-centric culture, prioritizing teamwork and a commitment to helping investors achieve their long-term financial goals.

The company's work environment is characterized by a flat organizational structure, with a focus on open communication and a transparent decision-making process. Vanguard's mission-driven approach is reflected in its commitment to low-cost investing and providing high-quality services to its clients.

Working at Vanguard may appeal to individuals who value a dynamic and supportive work environment, opportunities for professional growth and development, and the chance to contribute to a company that has consistently ranked among the world's largest and most respected financial institutions.
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Infographic showing various Machine Engineer job openings at Vanguard in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Machine Learning Engineer, Specialist

Machine Learning Engineer, Specialist

Vanguard

Dallas, TX • On-site

$113.30K - $136K/yr

Full-time

Posted 8 days ago

Job description

We're the AI Center of Excellence within the Chief Data and Analytics Office. We work on projects that enable AI practitioners build AI products quickly and confidently. We work on many open problems around AI safety and evaluations. One way that we do so is by finding vulnerabilities in Gen AI applications with an automated adversarial testing service. We're looking for people who are technically sharp and effective communicators to help design and deploy this service. Performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Leverages detailed understanding of machine learning models and their deployment architecture.


Responsibilities:

  • Develops complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency. Proficient in model development environments and coding best practices to enable model deployment.

  • Integrates and optimizes existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps. Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models. Proficient in SDLC processes and related tools and technologies.

  • Partners with data science teams to review model ready dataset document/feature documentation. Develops data model design and document and reviews for completeness with data science teams.

  • Partners with data science teams to understand data requirements, performs data discovery for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs. Drives efficiency through the use of data discovery tools.

  • Engages with internal stakeholders to understand and probe business processes and develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.

  • Writes model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues.

  • Serves as a machine learning engineering subject matter expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.

  • Participates in special projects and performs other duties as assigned.

  • Designs and implements statistical analysis frameworks and protocols to uncover business trends across functions like marketing, supply chain, and economics.

  • Applies advanced data mining techniques to build scalable models for deriving actionable insights from large-scale data sets.

  • Explores and integrates evolving methodologies in machine learning and big data science to enhance decision-making strategies.


Qualifications:

  • Minimum 8 years of experience in machine learning engineering or data science roles

  • Bachelor’s degree (B.E./B.Tech) in Computer Science, Data Engineering, AI/ML, or related fields, or a Master’s degree/Diploma in Computer Science or Data Science

  • Strong expertise in data pipeline development, statistical modeling, SDLC, AI/ML concepts, model monitoring, and stakeholder engagement across domains

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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