Machine Learning Scientist
Posted on 4/3/2024
Altos Labs

201-500 employees

Biotechnology firm focused on cellular rejuvenation to reverse disease and
Company Overview
Altos Labs is a unique convergence of academia and industry, providing an environment where leading scientists, clinicians, and leaders can collaboratively tackle challenging problems in biology, specifically cellular rejuvenation. The company's culture promotes intense collaboration, enthusiasm, and openness, fostering an ideal setting for the development of transformative medicines. With operations in the US and the UK, and significant collaborations in Japan, Altos Labs stands out for its global reach and its board of directors and advisors that include Nobel Laureates and scientific leaders.
Biotechnology

Company Stage

Series A

Total Funding

$6.3B

Founded

2021

Headquarters

Redwood City, California

Growth & Insights
Headcount

6 month growth

1%

1 year growth

8%

2 year growth

148%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
Pytorch
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Deep Learning
AI Research
Requirements
  • PhD in computer science, machine learning, statistics, or a related field
  • Experience in developing and applying machine learning algorithms
  • Proficiency in Python and experience with machine learning frameworks like PyTorch
  • Strong statistical analysis skills and experience with handling and analyzing large-scale datasets
  • Demonstrated track record of scientific research and publications in reputable conferences or journals
  • Excellent interpersonal and communication skills
  • Strong problem-solving skills and the ability to devise innovative solutions to challenging research problems
Responsibilities
  • Lead the design, development, and implementation of cutting-edge machine learning algorithms and models
  • Collaborate with interdisciplinary teams to develop innovative machine learning algorithms
  • Perform in-depth analysis of biological and genetic datasets
  • Collaborate with internal and external research partners
  • Provide technical guidance and mentorship to junior members of the research team
  • Identify opportunities for innovation and contribute to the creation of intellectual property