Sr. Machine Learning Engineer

Ladders; United States; Remote; USD 277,000 - 332,000; Full time

Benefits offered by this job

Telecommuting

Equity eligibility

Inclusive culture

Job summary

Ladders is seeking a Sr. Machine Learning Engineer to join a leader in Consumer Technology, focusing on deep learning, recommendation systems, and language-driven content understanding at scale.

This remote US-based role partners with cross-functional teams to improve model performance and run rapid experiments across home feed, ads, and search surfaces. Ideal candidates have a Master’s in CS/Statistics, 3+ years in ML engineering, and strong experience with PyTorch, TensorFlow, scikit-learn,

Qualifications

• Master's degree in Computer Science, Statistics, or related field is required.
• 3+ years of software/ML engineering experience.
• Proficiency with PyTorch, TensorFlow, and scikit-learn.
• Strong Python and SQL skills; Java experience is a plus.
• Familiarity with recommendation systems and NLP techniques.
• Experience with data analysis tools Hive, Spark, R, and MATLAB.
• Version control experience with Git.

Responsibilities

• Build and improve deep learning and ML systems for content discovery and relevance at scale.
• Collaborate with cross-functional teams to enhance ML models.
• Use data-driven methods to improve candidate retrieval and ranking.
• Run fast experiments and support high-impact product launches.
• Stay updated on industry trends in recommendation systems.
• Leverage LLMs and embeddings for content understanding.
• Experiment with surfaces including home feed, ads, and search.

Skills

PyTorch

TensorFlow

scikit-learn

SQL

Python

Java

NLP

Recommendation algorithms

Data analysis tools

Git

Education

Master's degree in Computer Science, Statistics, or related field

Tools

Hive

Spark

R

MATLAB

Job description

For our client, we are seeking a Sr. Machine Learning Engineer to join the team of a leader in the Consumer Technology space.

In this role, you will help build and improve machine learning systems that shape content discovery and relevance at scale. You will partner closely with cross-functional teams to enhance model performance, run fast experiments, and support high-impact product launches. The work will focus on deep learning, recommendation systems, and language-driven content understanding across multiple consumer-facing surfaces.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $277,000 – $332,012 annually

Responsibilities

• Build advanced technology using deep learning and machine learning


• Collaborate with cross-functional teams to enhance ML models


• Utilize data-driven methods to improve candidate retrieval and ranking


• Conduct quick experiments and product launches in a high-impact environment


• Stay updated on industry trends in recommendation systems


• Leverage LLMs and embeddings for better content understanding


• Experiment with various product surfaces including home feed, ads, and search

Qualifications

• Master's degree in Computer Science, Statistics, or a related field


• 3 years of experience in software engineering or a related role


• Proficiency in PyTorch, TensorFlow, and scikit-learn


• Experience with SQL, Python, and Java


• Familiarity with recommendation algorithms and natural language processing


• Knowledge of data analysis tools like Hive, Spark, R, and MATLAB


• Experience with version control systems like Git

Benefits

• Telecommuting and remote work options available


• Equity eligibility for employees


• Commitment to an equitable and inclusive workplace culture

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.