Machine Learning Engineer

Confidential; Houston (TX); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading tech firm in Houston is seeking an Entry Level Machine Learning Engineer to design and implement advanced models for quantitative research. You will develop scalable systems for data ingestion and collaborate with trading teams to enhance decision-making. The ideal candidate has a Master’s degree and 2+ years of experience in ML. This full-time role offers opportunities for professional growth in a fast-paced environment.

Qualifications

• Master’s degree in a relevant quantitative discipline.
• 2+ years of ML engineering or quantitative research experience.

Responsibilities

• Architect and maintain research infrastructure.
• Develop and refine machine learning models.
• Automate reporting and analytics dashboards.
• Conduct exploratory data analysis on large datasets.
• Collaborate with trading teams to integrate insights.

Skills

Data visualization tools

Familiarity with cloud platforms

Version control (Git)

Education

Master’s degree in applied Analytics or related quantitative discipline

2+ years in ML engineering or quantitative research

Tools

Tableau

Python

SQL

Job description

The Machine Learning Engineer plays a vital role in designing and implementing advanced models and infrastructure that drive quantitative research and trading strategies. This position focuses on building scalable systems for data ingestion, risk modeling, and back testing, while collaborating closely with traders and analysts to enhance decision-making.

Key Responsibilities

• Architect and maintain research infrastructure for data access, risk modeling, and backtesting.
• Develop and refine machine learning models (e.g., Neural Networks, Random Forest, XGBoost) for predictive analytics and anomaly detection.
• Automate reporting and analytics dashboards using Python, Tableau, and SQL.
• Conduct exploratory data analysis on large financial datasets from Bloomberg, Reuters, and other sources.
• Collaborate with trading teams to integrate ML‑driven insights into execution strategies.
• Stay current with emerging ML techniques and financial technologies.

Qualifications

Education and Certification

• Master’s degree in applied Analytics or related quantitative discipline.
• 2+ years in ML engineering or quantitative research; exposure to financial markets preferred.

Technical Skills

• Data visualization tools (Tableau, Matplotlib)
• Familiarity with cloud platforms (AWS/Azure) and version control (Git)

Core Competencies

• Strong understanding of statistics, probability, and financial instruments (ETFs, derivatives).
• Ability to manage multiple projects in a fast‑paced environment.

Seniority Level

Entry level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

IT Services and IT Consulting