SmithRx

Senior Machine Learning Engineer – Applications

SmithRx

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

PandasPythonScikit-LearnTensorflow

About the role

  • Design Generative AI solutions, such as information retrieval and summary generation for support and operations organizations.
  • Partner with Software Engineering teams to build and deploy GenAI applications.
  • Ideate and explore opportunities to deploy GenAI technologies for customer-facing experiences
  • Drive the adoption and scalability of Generative AI capabilities within SmithRx; advocacy on the technology and evangelize the use of GenAI.

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 (regression and classification, supervised, and unsupervised learning).
  • Strong mathematical background (linear algebra, calculus, probability, and statistics).
  • Proficiency in Python and object-oriented programming.
  • Strong experience working with machine learning and natural language processing techniques and tools.
  • Strong experience using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters.
  • Strong experience with retrieval methods e.g. using embeddings.
  • Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc.
  • Experience in Prompt Engineering and few-shot techniques to enhance LLM's performance on specific tasks.
  • Experience with training and fine-tuning deep learning models, especially LLMs, and how to tune hyperparameters to ensure task generalization.
  • Ability to drive a project and work both independently and within a cross-functional team.
  • Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience.
Benefits
  • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
  • Flexible Spending Benefits
  • 401(k) Retirement Savings Program
  • Short-term and long-term disability
  • Discretionary Paid Time Off
  • 12 Paid Company Holidays
  • Wellness Benefits
  • Commuter Benefits
  • Paid Parental Leave benefits
  • Employee Assistance Program (EAP)
  • Well-stocked kitchen in office locations
  • Professional development and training opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencemachine learningAI developmentGenerative AInatural language processingPythondeep learningPrompt Engineeringhyperparameter tuningdata wrangling
Soft Skills
leadershipproject managementindependent workcross-functional collaborationcommunication
Certifications
MS in Computer SciencePhD in Computer ScienceMS in Electrical EngineeringPhD in Electrical EngineeringMS in StatisticsPhD in StatisticsMS in RoboticsPhD in Robotics