Member of the Technical Staff, Computer Vision Model Training

Conquest
Palo Alto Office
On-site

Who this role is best for

Best suited to senior AI scientists with expertise in deep learning and physics, working in a full-time on-site role in Palo Alto.

Best fit for

  • Senior researchers comfortable co-designing experimental campaigns with robotic platforms.
    — “Co-design data-for-models experimental campaign at scale on robotic platform”
  • Engineers who prioritize production-grade coding in collaborative environments.
    — “Zeal for best practices in group development and coding to production”

Things to consider

  • Mandatory full-time office presence in Palo Alto with no remote flexibility.
    — “In office 5 days a week”
  • Advanced degree required with no exceptions for equivalent experience.
    — “MS/PhD/Postdoc in Physics, Applied Mathematics, Computer Science”

How to stand out

  • Demonstrate concrete examples of biological data wrangling in past projects.
    — “Wrangle/stand up/leverage large structured data sets”
  • Highlight experience with Gaussian processes in high-dimensional systems.
    — “Expertise in classic ML and statistics, deep learning, Gaussian processes”
  • Showcase contributions to data infrastructure spanning wet lab to software.
    — “Oversee data infrastructure across pipeline from software development environment to wet lab”
Pace · SteadyCollaboration · MediumAutonomy · HighDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Develop novel approaches and train models for prediction of perturbation-response
  • Co-design data-for-models experimental campaign
  • Wrangle/stand up/leverage large structured data sets
Typical background
MS/PhD/Postdoc in Physics, Applied Mathematics, Computer Science, or a related field

Skills & requirements

Required

AIDeep LearningGaussian ProcessesTransformersSelf AttentionBest Practices In Group DevelopmentCoding To ProductionBiological Data

Preferred

Experience Working With Biological Data

Stack & domain

AIDeep LearningGaussian ProcessesTransformersSelf AttentionPythonPyTorchTensorFlowNumPyPandasCollaborationCommunicationLeadershipOncologyBiological DataData Infrastructure

About the role

Original posting from Conquest via Ashby

We are seeking a top-tier AI Scientist / Engineer to join our "Mars-shot" AI startup that aims to reinvent cancer therapy. This unique role offers the opportunity to contribute to groundbreaking advancements in oncology and beyond by combining theoretical physics thinking and cutting edge deep learning methodology to generate and learn from biological data at scale.

RESPONSIBILITIES

  • Develop novel approaches and train models for prediction of perturbation-response in a complex, high-dimensional dynamical system
  • Co-design data-for-models experimental campaign at scale on robotic platform
  • Wrangle/stand up/leverage large structured data sets and foundational models for biology from public domain
  • Oversee data infrastructure across pipeline from software development environment to wet lab

REQUIREMENTS

  • In office 5 days a week
  • MS/PhD/Postdoc in Physics, Applied Mathematics, Computer Science, or a related field.
  • Expertise in classic ML and statistics, deep learning, Gaussian processes, transformers+self attention
  • Zeal for best practices in group development and coding to production
  • Past experience working with biological data a plus

TECH STACK

  • Python
  • PyTorch
  • TensorFlow
  • NumPy
  • Pandas

Source: Conquest careers (Ashby)

Similar roles