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Ml Research Scientist - $150K-$200K (Gnn, Transformers)

Company

CyberCoders

Address Culver City, CA, United States
Employment type FULL_TIME
Salary
Category Software Development
Expires 2023-07-20
Posted at 11 months ago
Job Description
Hybrid, 3 Days/Week in Culver City
Job Title: ML Research Scientist - $150k-$200k (GNN, Transformers)
Salary: $150k-$200k Base + Bonus, No Stock, 401k, Benefits
Requirements:MSc or PhD, GNNs, Generative Models, CNN
Located in beautiful Culver City, CA, we craft computational solutions to facilitate the discovery and design of biomolecular therapeutics.
Our software leverage the power of the latest deep learning methods to model and design biological molecules.
Our deep learning technology draws inspiration from a wide range of cutting edge disciplines, such as quantum mechanics, physics, and mathematics.
We create innovative model architectures which are custom-tailored for biological applications.
This allows us to achieve stunning breakthroughs in biomedical design.
We have been in business for around 6 years and have 12 employees.
Due To Growth, We Are Actively Hiring An ML Research Scientist With Either a PhD Or MSc And a Few Years Of Experience, And Experience With Some Of The Following
  • Diffusion
  • PyTorch or TensorFlow
  • Linux
  • Graph Neural Networks (GNN)
  • Transformers
  • Mathematics (stats, probability theory, linear algebra, calculus)
  • Generative Models
You will be applying cutting-edge deep learning approaches to resolve systematic issues in drug development and biology.
You will also work with complex biodata to both evaluate and train our neural networks.
If you have this experience, please apply immediately. We are actively interviewing this week and next for this high profile position.
Top Reasons to Work with Us
  • Compensation: $150k-$200k Base + Bonus, No Stock, 401k, Benefits
  • Culture: Fast paced, mission driven culture
  • Technology: $150k-$200k Base + Bonus, No Stock, 401k, Benefits
What You Will Be Doing
  • Apply cutting-edge deep learning approaches to resolve systematic issues in drug development and biology.
  • Build models which reduce the time and cost associated with the development of new therapeutics
  • Work with complex biodata to both evaluate and train our neural networks
  • Partner with deep learning, computational chemistry and biology, and software engineering
What You Need for this Position
Must Have
  • Phd
  • Or MSc + a few years of working experience
Some Of The Following
  • Linux
  • PyTorch or TensorFlow
  • Generative Models
  • Mathematics (stats, probability theory, linear algebra, calculus)
  • Diffusion
  • Graph Neural Networks (GNN)
  • Transformers
What's In It for You
  • Dental
  • Vacation/PTO
  • 401k
  • 401k
  • $150k-$200k Base + Bonus, No Stock, 401k, Benefits
  • Vision
  • Medical
  • Bonus
So, if you are a ML Research Scientist - $150k-$200k (GNNs, GAN, VAE, CNN) with experience, please apply today!
Email Your Resume In Word To
Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply, but you may also:
[email protected]
  • Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : MA5-1740533 -- in the email subject line for your application to be considered.***
Matt Abbasfard - Lead Recruiter - CyberCoders
Applicants must be authorized to work in the U.S.
CyberCoders, Inc is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.