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Machine Learning Engineer Associate Jobs in Arlington, TX

Equinix

AI/Machine Learning Engineer

Dallas, TX · Remote

... ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems * Bachelor's degree in Computer Science, Machine Learning, Data Science, or a ...

Equinix, Inc.

AI/Machine Learning Engineer

Dallas, TX · On-site

... ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems * Bachelor's degree in Computer Science, Machine Learning, Data Science, or a ...

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Machine Learning Engineer Associate information

See Arlington, TX salary details

$37.3K

$74.4K

$118.8K

How much do machine learning engineer associate jobs pay per year?

As of Aug 5, 2026, the average yearly pay for machine learning engineer associate in Arlington, TX is $74,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $85,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Arlington, TX? The most popular types of Machine Learning Engineer jobs in Arlington, TX are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Arlington, TX? For Machine Learning Engineer Associate jobs in Arlington, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Arlington, TX look for? The top searched job categories for Machine Learning Engineer Associate jobs in Arlington, TX are:
What cities near Arlington, TX are hiring for Machine Learning Engineer Associate jobs? Cities near Arlington, TX with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you

Manager, Machine Learning Engineer

Vanguard Group

Dallas, TX • On-site

Full-time

Re-posted 3 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description

Core Responsibilities
  • Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions in accordance with Human Resources policies and procedures.
  • Partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures and translate strategic initiatives into executable roadmaps, epics, and engineering workstreams.
  • Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams, driving solutions from concept through production while ensuring alignment to business objectives and enterprise standards.
  • Establishes engineering practices, reusable frameworks, and platform capabilities that improve scalability, consistency, and delivery efficiency across AI/ML initiatives.
  • Oversees the design, implementation, and evolution of data, feature, and model pipelines to support reliable and scalable AI/ML solutions.
  • Applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities.
  • Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment.
  • Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems.
  • Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements.
  • Engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions.
  • Supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals.
  • Establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms.
  • Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders.
  • Participates in special projects and performs other duties as assigned.

Qualifications
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Minimum of eight years related work experience.

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.

What Vanguard employees say

Pay

Benefits

Hours and flexibility

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