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Benefits offered by this job
Comprehensive health benefits
Financial incentives
Inclusive work environment
Job summary
A leading financial technology company seeks a Machine Learning Engineer in McLean, VA. In this role, you will design and implement machine learning applications, collaborate in Agile teams, and tackle real-world business challenges using Python, Scala, and Java. The position requires extensive experience in ML systems and distributed computing. The salary range for this role is competitive, from $225,400 to $257,200 annually, with the potential for bonuses and performance incentives.
Qualifications
At least 8 years of experience designing and building data-intensive solutions using distributed computing.
At least 4 years of experience programming with Python, Scala, or Java.
At least 3 years of experience building, scaling, and optimizing ML systems.
At least 2 years of experience leading teams developing ML solutions.
Responsibilities
Design, build, and deliver ML models and components solving real business problems.
Inform ML infrastructure decisions using understanding of ML modeling techniques.
Solve complex problems by writing and testing application code for ML.
Collaborate with cross-functional Agile teams to enhance software for ML applications.
Maintain and monitor models in production.
Skills
Machine Learning
Distributed Computing
Python
Scala
Java
Education
Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
Tools
scikit-learn
PyTorch
Dask
Spark
TensorFlow
Job description
A leading financial technology company seeks a Machine Learning Engineer in McLean, VA. In this role, you will design and implement machine learning applications, collaborate in Agile teams, and tackle real-world business challenges using Python, Scala, and Java. The position requires extensive experience in ML systems and distributed computing. The salary range for this role is competitive, from $225,400 to $257,200 annually, with the potential for bonuses and performance incentives.