Senior Machine Learning Engineer
Our client, a leading e-commerce platform, is seeking a Senior Software Engineer, Machine Learning to support a dynamic team. This remote role within the U.S. offers an exciting opportunity to work on innovative ad systems powered by cutting-edge machine learning techniques. The position is classified as Temp--10-26 weeks in duration.
There is no application deadline for this role.
*Senior Machine Learning Engineer Responsibilities:*
* Develop and maintain scalable machine learning models to enhance ad relevance and system efficiency.
* Collaborate with cross-functional teams to improve ad candidate retrieval and user engagement metrics.
* Implement, monitor, and optimize ML systems in production environments.
* Contribute to data pipeline architecture to support machine learning workflows at scale.
* Troubleshoot and debug issues within live machine learning production systems.
*Senior Machine Learning Engineer Qualifications:*
* Proficiency in Python, with additional experience in Scala, Java, or C/C++.
* Solid engineering skills with the ability to develop performant data pipelines on distributed systems.
* 2-5 years of experience working with machine learning lifecycle tasks including training, deployment, and monitoring.
* Familiarity with vector databases, retrieval systems, and ANN tuning, with Vespa experience preferred.
* Hands-on experience using frameworks such as TensorFlow or PyTorch.
*Perks and Benefits:*
* Medical, Dental, and Vision Insurance.
* Life Insurance.
* 401(k) Program.
* Commuter Benefit.
* eLearning and Ongoing Training.
* Education Reimbursement.
Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks.
If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.
There is no application deadline for this role.
*Senior Machine Learning Engineer Responsibilities:*
* Develop and maintain scalable machine learning models to enhance ad relevance and system efficiency.
* Collaborate with cross-functional teams to improve ad candidate retrieval and user engagement metrics.
* Implement, monitor, and optimize ML systems in production environments.
* Contribute to data pipeline architecture to support machine learning workflows at scale.
* Troubleshoot and debug issues within live machine learning production systems.
*Senior Machine Learning Engineer Qualifications:*
* Proficiency in Python, with additional experience in Scala, Java, or C/C++.
* Solid engineering skills with the ability to develop performant data pipelines on distributed systems.
* 2-5 years of experience working with machine learning lifecycle tasks including training, deployment, and monitoring.
* Familiarity with vector databases, retrieval systems, and ANN tuning, with Vespa experience preferred.
* Hands-on experience using frameworks such as TensorFlow or PyTorch.
*Perks and Benefits:*
* Medical, Dental, and Vision Insurance.
* Life Insurance.
* 401(k) Program.
* Commuter Benefit.
* eLearning and Ongoing Training.
* Education Reimbursement.
Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks.
If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.