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Staff Machine Learning Engineer, Applications

2 weeks, 1 day ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Deep Learning Generative AI GPT LLM Machine Learning NLP Pandas Python PyTorch Reinforcement Learning Scikit-learn Statistics TensorFlow Transformers
Apply Now
SmithRx

SmithRx

SmithRx revolutionizes pharmacy benefits with transparent technology, connecting stakeholders for efficient drug delivery and cost savings.

Pharmaceuticals
1K-5K
Founded 2016
$38M raised
View All Jobs 43

Description

  • Design generative AI solutions for information retrieval and summary generation for support and operations teams.
  • Partner with software engineering teams to build and deploy GenAI applications.
  • Work with product managers, data engineers, software engineers, and subject matter experts to define new generative AI capabilities.
  • Develop customer-facing and internal AI tooling that improves productivity and quality.
  • Explore opportunities to apply GenAI technologies to customer-facing experiences.
  • Drive adoption and scalability of generative AI capabilities across SmithRx.
  • Advocate for GenAI and evangelize its use within the company.
  • Implement LLM-powered agents and tools at scale.

Requirements

  • 5+ years of experience in data science, machine learning, and AI development, with proven success leading AI initiatives.
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics, or equivalent fields.
  • Applied machine learning experience with regression, classification, supervised learning, and unsupervised learning.
  • Strong mathematical background in linear algebra, calculus, probability, and statistics.
  • Proficiency in Python and object-oriented programming.
  • Strong experience with machine learning and natural language processing techniques and tools.
  • Strong experience using generative AI models and a good understanding of deep learning model classes such as GPT, VAE, and GANs, including their hyperparameters.
  • Strong experience with retrieval methods, including embeddings.
  • Experience using Python packages such as pandas, sklearn, TensorFlow, torch, transformers, and LangChain.
  • Experience in prompt engineering and few-shot techniques to improve LLM performance on specific tasks.
  • Experience training and fine-tuning deep learning models, especially LLMs, and tuning hyperparameters for generalization.
  • Ability to drive projects independently and collaborate within a cross-functional team.
  • Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical audiences.
  • Preferred: experience with embedding model training and retrieval method evaluation approaches.
  • Preferred: experience with LLM architectures, adapters, Mixture of Experts (MoEs), pretraining, and fine-tuning techniques.
  • Preferred: experience designing, deploying, and evaluating LLM-powered agents and tools, including orchestration approaches.
  • Preferred: experience with reinforcement learning for fine-tuning LLM outputs.
  • Preferred: experience with time series analysis and multivariate time series modeling.

Benefits

  • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, Life Insurance, and AD&D Insurance.
  • Flexible Spending Benefits.
  • 401(k) retirement savings program.
  • Short-term and long-term disability coverage.
  • Discretionary paid time off and paid company holidays.
  • Wellness benefits and commuter benefits.
  • Paid parental leave benefits.
  • Employee Assistance Program (EAP).
  • Well-stocked kitchen in office locations.
  • Professional development and training opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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