Vanguard

Machine Learning Engineer, Specialist

Malvern, Pennsylvania, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries

Senior Machine Learning Engineer

Employment Type: Full time

Position Overview

We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.

Responsibilities

  • Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.
  • Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.
  • Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling.
  • Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
  • Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.
  • Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
  • Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches.
  • Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.
  • Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives.
  • Stay updated with the latest advancements in AI/ML and apply them to real-world challenges.
  • Participate in special projects and additional duties as assigned.

Qualifications

  • Undergraduate degree or equivalent experience; a graduate degree is preferred.
  • Minimum of 8 years of relevant work experience.
  • At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
  • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
  • Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.
  • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
  • Experience with API design and development is a plus.
  • Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
  • Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.
  • Understanding of solution architecture for building end-to-end machine learning data pipelines.

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.

Skills

Machine Learning
Deep Learning
Data Pipelines
Model Deployment
Cloud AI Services
Data Analysis
Model Monitoring
ETL Pipeline Design
Data Lineage
Statistical Methods
Experimentation
Feature Engineering

Vanguard

Client-owned investment management firm offering low-cost funds

About Vanguard

Vanguard provides financial services with a focus on investment management. The company offers a variety of products, including mutual funds, exchange-traded funds (ETFs), individual retirement accounts (IRAs), and 401k rollovers, aimed at individual investors, financial advisors, and institutions. Vanguard's unique ownership structure means it is owned by its funds, which are in turn owned by the clients, allowing it to prioritize the needs of its investors over external shareholders. This model enables Vanguard to offer low-cost investment options, as it primarily earns revenue through management fees that are generally lower than industry standards. Additionally, Vanguard provides personalized investment advisory services, charging fees based on the assets managed. The company's goal is to help clients grow their wealth and achieve their financial objectives through effective investment strategies, while maintaining a competitive performance track record.

Kline Township, PennsylvaniaHeadquarters
1975Year Founded
SECONDARYCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Best-in-class medical, dental & vision coverage
Onsite health clinic & fitness center
Health Smart Rewards program
Vanguard Retirement Savings Plan
Education Benefits
PTO
Family Planning Benefist
Parental leave
Personal development opportunities
Volunteer Time Off

Risks

Competition from AI-driven platforms like Writer challenges Vanguard's traditional advisory services.
Vanguard's stake in Steelcase exposes it to the volatile furniture market.
New active bond ETFs may struggle in a low-yield environment with increasing competition.

Differentiation

Vanguard is client-owned, aligning its interests with investors, unlike traditional firms.
The firm offers low-cost investment products, making it attractive to cost-conscious investors.
Vanguard's ownership structure allows it to focus on long-term investor value.

Upsides

Vanguard's new active bond ETFs offer diversified, low-cost fixed income options.
The acquisition of Steelcase shares diversifies Vanguard's portfolio into the furniture industry.
Launching the International Dividend Growth Fund appeals to investors seeking sustainable dividend growth.

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