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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 888350
- Posted 3 hours ago
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