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Remote Machine Learning Research Engineer Job in United States Syntensor

Machine Learning Research Engineer Syntensor
Computer ScienceData EngineeringSoftware DevelopmentBiotechnologyData ScienceDeep LearningMachine LearningPytorchPythonStatistics
Mid-level (3-4 years) - 
United States


Synthetic biology + systems ML
8+ employees
Biotechnology


Role


Who you are

  • Masters in Computer Science, Engineering, or other STEM field and 4+ years of experience in applied machine learning and software engineering
  • PhD in Computer Science, Engineering, or other STEM field and 2+ years of experience in applied machine learning and software engineering
  • Knowledge of statistics for scientific data
  • Experience working within the domain of biological systems
  • Experienced with large scale representation learning
  • Experienced with long context sequence models
  • Experience with tabular data
  • Experience with ML + data science libraries such as PyTorch, Pandas, Scikit-learn
  • Proficient data engineering skills
  • Python Expertise
  • Familiarity with cloud platforms like AWS
  • Understanding of version control (Git) and software engineering best practices
  • Experience with early-stage startups

Desirables

  • Self-manage
  • Distributed work experience
  • Problem-solving
  • Execution-focused



What the job involves

  • Develop foundational models based on biological data for early stage drug discovery
  • Productionalize research code and enhance state of the art models
  • Implement and train baseline models for downstream tasks
  • Identify, implement, and maintain model performance metrics
  • Lead and contribute to publications in top-tier journals
  • Stay up to date with relevant research and industry trends
  • Transform biological systems simulation for drug development

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Company


Company mission

Syntensor is dedicated to creating a revolutionary systems simulator for human physiology, aiming to transform drug development by predicting drug efficacy and systemic toxicity, and ultimately enhancing patient treatment outcomes through cutting-edge machine learning applications.




Company benefits

  • Competitive compensation
  • Stock options
  • Self-manage
  • Distributed work



Company values

  • Innovation
  • Scientific Method
  • Collaboration
  • Problem-solving
  • Patient-centricity



Company HQ

London
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