Machine Learning Engineer IV

Lead the development of machine learning solutions that move from research and experimentation into real-world products and applications. As a Machine Learning Engineer IV, you'll design data pipelines, refine and validate algorithms, deploy models into production, and help establish the technical foundation for future machine learning initiatives.

This role is a strong fit for an experienced engineer who enjoys solving complex problems and working across teams to turn ideas into reliable solutions. You'll have the opportunity to shape proof-of-concept projects, influence technical direction, evaluate new approaches, and represent your team when addressing challenging issues. Strong communication and documentation skills will be just as important as your ability to build and monitor machine learning systems.

Required Skills & Experience
5-8 years of related experience after completing a bachelor's degree, or a master's degree with 2-3 years of related experience

Experience developing, refining, and validating machine learning or deep learning algorithms

Strong programming and software development skills using Python, Java, Scala, or similar languages

Experience designing data pipelines for ingestion, validation, cleaning, and monitoring

Experience deploying and monitoring machine learning models in production

Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical discipline-or equivalent industry experience

Desired Skills & Experience
Experience with data mining, statistical analysis, or advanced machine learning tools

Knowledge of Kafka, Spark, Docker, or similar data and cloud technologies

Experience designing proof-of-concept solutions and technical studies

Experience collaborating with teams outside of an immediate work group

Strong technical writing experience, including evaluation plans, white papers, reports, or technical documentation

Experience representing a technical team in project discussions and solution development

What You Will Be Doing
Design, implement, refine, and validate machine learning algorithms for products and applications

Design and develop data pipelines for data ingestion, validation, cleaning, and monitoring

Train machine learning models, evaluate accuracy, and deploy validated models into production

Design proof-of-concept solutions and contribute to research supporting future products

Test and evaluate solutions through case studies, technical reviews, and performance reporting

Collaborate with cross-functional teams to resolve technical issues and provide scalable solutions

Tech Breakdown
30% Machine Learning Algorithm and Model Development

25% Data Pipeline and Cloud Engineering

20% Model Validation, Deployment, and Monitoring

15% Proofs of Concept, Testing, and Technical Evaluation

10% Documentation, Collaboration, and Technical Leadership

Daily Responsibilities
Design and improve machine learning models and supporting algorithms

Build and maintain reliable data pipelines

Review model accuracy, performance, and production behavior

Support model deployment, monitoring, and ongoing improvements

Lead technical evaluations, proof-of-concept work, and case studies

Collaborate with engineering and business teams to resolve technical challenges

Prepare requirements, evaluation plans, reports, presentations, and other technical documentation

Represent the team in technical discussions and solution planning