Machine Learning Engineer

Posted 4hrs ago

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Job Description

Machine Learning Engineer at Adapter focusing on deploying ML models and optimizing performance. Engaging with cross-functional teams to implement innovative AI solutions.

Responsibilities:

  • Use the latest cutting edge technologies such as LLMS, multimodal models to handle complex problems.
  • Work with large datasets, perform data preprocessing, and engineer relevant features to enhance model performance.
  • Build frameworks that allow us to iterate and evaluate model versions (ranking, accuracy, latency).
  • Deploy Models at Scale: Collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems.
  • Monitoring and Maintenance: Implement monitoring solutions to track model performance in real-time and perform regular maintenance and updates as needed.
  • Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to understand requirements and deliver impactful solutions.
  • Research and Innovation: Stay abreast of the latest advancements in machine learning and contribute to the research and development of innovative solutions.

Requirements:

  • 3+ years of experience in similar role, focus on developing and deploying ML models in production environments
  • Experience with optimizing models for size, cost, and latency is a plus.
  • Proficient in designing, developing, and operating fine-tuning pipelines in production environments
  • Experience with large-scale data processing and distributed systems
  • Strong programming skills in Python, and proficiency in machine learning libraries such as PyTorch, Tensorflow etc.

Benefits:

  • Early stage equity
  • Comprehensive health insurance
  • Generous PTO
  • Remote and in person cultures that promote collaboration