Remote ML Research Engineer

Logo of Genesis Therapeutics

Genesis Therapeutics

πŸ“Remote - United States

Job highlights

Summary

The job description is for a Machine Learning Research Engineer position at Genesis Therapeutics. The role involves leading research and engineering efforts focused on driving forward the ML research agenda for generative modeling of molecular systems, working closely with engineers, researchers, and biochemistry experts. The position is available at various levels of seniority, starting from Senior and above.

Requirements

  • Independent thinker with a strong sense of ownership and capability of driving research projects or engineering robust systems from first-principles-based conceptualization to state-of-the-art realization
  • Experienced in contributing to challenging deep learning research projects, designing and iterating on novel model architectures, training and inference algorithms, etc
  • Experienced with running, scaling up, and analyzing distributed training experiments

Responsibilities

  • Lead experimentation on transformative research projects that enhance the Genesis AI platform's capabilities, focusing on generative and predictive models for molecular systems
  • Carefully design and run experiments at scale to validate most promising approaches, leading ML engineering efforts and shipping state-of-the-art models to production
  • Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), developing novel models and training techniques for molecular data, and communicating your findings to the team
  • Have the opportunity to mentor and guide more junior members of our technical team as well as research interns, fostering an environment of growth and innovation

Preferred Qualifications

  • Curious, problem-oriented thinker who is excited to dive deep into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries (no previous experience in anything but ML necessary)
  • Strong engineer who constantly strives for technical excellence. You can write clean code and have a deep understanding of the codebases you work in

Benefits

  • Competitive compensation package that includes salary and equity
  • Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees)
  • 401(k) plan
  • Open (unlimited) PTO policy
  • Free lunches and dinners at our offices
  • Paid family leave (maternity and paternity)
  • Life and long- and short-term disability insurance

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