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Job Details

Machine Learning Engineer El Segundo, CA

  2025-04-28     Tbwa Chiat/Day     all cities,MS  
Description:

Founded in 2015, Specialist Direct (SDI) is the number one, fastest growing organ transplant telehealth company in the US. Our award-winning, cloud-based diagnostic solutions have been instrumental in improving organ utilization and increasing organ placements. With a national network of top specialists, SDI delivers more accurate medical assessments, saving lives across America.

The Role

Specialist Direct (SDI) is seeking a highly skilled Machine Learning Engineer to join our team. This role involves designing and deploying machine learning models, enhancing internal annotation capabilities, and automating workflows. You will work across the entire ML pipeline—from data collection to model deployment—while leveraging cutting-edge tools and infrastructure.

Join us to drive innovation in machine learning and build scalable solutions for real-world applications! We prefer candidates local to California, but we are open to candidates in Washington or Oregon, if they can travel onsite to our El Segundo office 1-2 times per month.

Key Responsibilities

  • Develop and deploy machine learning models from data collection to production.
  • Improve internal annotation capabilities to enhance data quality.
  • Automate workflows and pipelines to streamline ML processes.
  • Design and implement data structures, APIs, and user interfaces.
  • Conduct data analytics and predictive modeling to drive insights.
  • Deploy and manage ML components using Infrastructure as Code (IaC).

Technical Skills & Tools:

  • Machine Learning & AI: Fully Connected and Convolutional Neural Networks
  • Languages: C++, Java, C#, Python, Terraform
  • Frameworks & Libraries: TensorRT, TensorFlow, PyTorch
  • DevOps & Collaboration: Jira, Confluence, BitBucket with Pipelines, Microsoft Teams, Microsoft Loop

Required Skills & Qualifications

  • Bachelor's degree in Machine Learning, Artificial Intelligence, Computer Science, or a related engineering field.
  • Strong background in machine learning engineering, software development, and automation.
  • Healthcare experience is preferred but not required.
  • Ability to work cross-functionally and communicate effectively within a team.

Compensation & Benefits:

  • Competitive compensation package, including salary, medical/dental benefits, 401(k), and the opportunity for stock options.
  • Unique opportunity for professional growth in a high-growth company making a real difference in healthcare.

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