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Senior Machine Learning Engineer - Remote

Posted 8 weeks ago
Software Development
Full Time
USA
$125,000 - $135,000/year

Overview

A Place for Mom is looking for a Sr. Machine Learning Engineer to build efficient, data-driven machine learning applications.

In Short

  • Build and maintain machine learning models and applications.
  • Transform data science prototypes into machine learning algorithms.
  • Design and develop machine learning and Gen AI systems.
  • Optimize existing machine learning libraries and frameworks.
  • Collaborate with cross-functional teams to align applications with business objectives.
  • Implement model and data quality checks.
  • Create and maintain documentation for machine learning processes.
  • Train and monitor machine learning systems as needed.
  • Promote best practices for machine learning.
  • Provide support on model and data-related issues.

Requirements

  • 5+ years of experience as a Machine Learning Engineer.
  • Strong proficiency in SQL, Databricks, AWS, Python, and Spark.
  • Experience with machine learning frameworks like XGBoost, Scikit, TensorFlow, Keras, or PyTorch.
  • Excellent analytical and problem-solving skills.
  • Effective communication skills for conveying technical information.
  • Master’s degree in Computer Science, Mathematics, or related field.

Benefits

  • Base Salary: $125,000 to $135,000.
  • Bonus - 10% of annual earnings.
  • 401(k) plus match.
  • Dental insurance.
  • Health insurance.
  • Vision Insurance.
  • Paid Time Off.
A Place For Mom logo

A Place For Mom

A Place for Mom is the leading online resource dedicated to connecting families with expert advisors in the senior care sector. As the largest senior care advisory service in the United States, the company assists hundreds of thousands of families each year in navigating the complexities of finding suitable senior care options, including home care, independent living, memory care, and assisted living. Founded in 2000 as a family business, A Place for Mom is committed to its mission of empowering caregivers to make informed decisions about senior care. The company promotes a culture of diversity, equity, and inclusion, and its employees embody core values such as prioritizing the mission over individual interests, embracing challenges, collaborating as a team, maintaining integrity, and fostering innovation.

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