Remote Lead Machine Learning Engineer/Scientist

Description:

• We are looking for a highly skilled Lead Machine Learning Engineer/Scientist to join our Platform Engineering team.
• You will play a pivotal role in the development and maintenance of our Machine Learning & Data Processing capabilities.
• You will collaborate across products and teams to establish new models and drive model accuracy while mentoring other engineers.
• You will be the Machine Learning leader, responsible for shaping the technical direction of our products and projects.
• You will foster a culture of innovation and excellence within your team.
• Your responsibilities include identifying, evaluating, and normalizing data for ingestion and feature scaling.
• You will design, implement, and test machine learning models.
• You will employ statistical metrics such as accuracy, precision, F1, and AUC-ROC to evaluate model performance.
• You will conduct cross-validation and hyperparameter tuning to optimize model performance.
• You will use regularization and ensemble learning to improve model accuracy and reduce overfitting.
• You will deploy Machine Learning models to public cloud-based production infrastructure, monitor their performance, and make appropriate changes.
• You will mentor and coach junior engineers, helping them grow their technical skills.
• You will conduct code reviews and provide constructive feedback to ensure code quality and adherence to standards.
• You will collaborate with other teams and stakeholders to ensure seamless integration and compatibility between products and services.

Requirements:

• You must have 5+ years in Machine Learning model development, focusing on Feature Engineering and ML Metrics such as F1 and AUC-ROC.
• You should have 3+ years supporting a production SaaS application and previous experience collaborating with SaaS Product teams.
• A solid understanding of ML design principles and patterns, along with strong expertise in ML Tools such as Tensorflow, BiGML, Vertex AI, and Keras, is required.
• You must demonstrate an understanding of ML Systems Architecture, Databases, and other data architecture components.
• You should have 5+ years of experience with Python, SQL, R, and SCM tools such as Git.
• You must have 5+ years of leadership experience working in a team following Agile SDLC practices.
• You should have 3+ years of technical leadership experience working on platforms and system applications in a public cloud context (AWS, GCP, Azure).
• You must have 3+ years delivering Hadoop or Spark systems.
• A Bachelor’s or Master’s degree in Computer Science or a related field is required.
• Candidates must already possess the right to work in the United States without the need for employment-based visa sponsorship now or in the future.

Benefits:

• You will receive a competitive base salary.
• The position offers a remote work environment.
• You will have access to paid time off.
• Health insurance, dental insurance, and vision insurance are provided.
• A 401K match is available.
• The actual base salary will depend on numerous factors such as location, experience, training, knowledge, and skills.
• Tapcheck reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time.