Senior Machine Learning Engineer

Onward Search
New York, NY, United States
2 months ago

Role details

Contract type
Temporary contract
Employment type
Part-time (≀ 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$166,400.0 - $176,800.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Automated Storage and Retrieval Systems C++ (Programming Language) Distributed Systems Python (Programming Language) Machine Learning Tensorflow Pytorch Machine Learning Operations Multiaccess Edge Computing Data Pipelines

Job description

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., * 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.

Requirements

Do you have experience in TensorFlow?, * 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.

Benefits & conditions

3.73.7 out of 5 stars Brooklyn, NY 11201 Remote $80 - $85 an hour - Contract, Pulled from the full job description

  • Tuition reimbursement
  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Commuter assistance, 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.

Apply for this position

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