S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Data Scientist/Machine Learning Engineer
XX
Machine Learning ScientistSecond Renaissance • Mission, Texas, United States
Postuler Maintenant
XX

Machine Learning Scientist

Second Renaissance
  • US
    Mission, Texas, United States
  • US
    Mission, Texas, United States
Postuler Maintenant

À propos

E11 Bio is a Focused Research Organization (FRO) with a long-term mission to make connectomics scalable and cost-effective in mammalian brains – first in mice, and eventually in humans.
We have recently developed PRISM, a platform technology for low cost optical connectomics. PRISM integrates advances in genetic cell barcoding, multiplexed expansion microscopy, and ML reconstruction to solve key bottlenecks in data acquisition and analysis. We anticipate that PRISM, with further development, will reduce the cost of connectomics 100-fold and thereby transform brain understanding, treatments for brain disorders, and neuro-inspired computing.
As an ML scientist at E11 Bio, you will develop innovative and scalable methods to realize the potential of optical barcode connectomics.
This is a unique opportunity to play a key role in a moonshot non-profit neuroscience project. It is also an opportunity to help pioneer our FRO model, which combines the best parts of non-profit team science and start-up culture.
This role is ideal if you value exciting and important work in an environment with high camaraderie, trust, and autonomy beyond what can be found in more traditional scientific institutions.
### Responsibilities
- Develop machine learning models to automate the processing of large microscopy volumes Deploy developed models in large cluster or cloud environments to apply them to imaging volumes of hundreds of TBs and PBs in size Work closely with wet lab and microscopy scientists to optimize data analysis and acquisition processes Follow best practices for version control and sharing software with the scientific community Engage in a culture of excellent laboratory science practices, prepare reports and manuscripts, and present results internally and externally
### Required Qualifications
- PhD in computer science, machine learning, applied math, computational biology or a related field in science and/or engineering or PhD-equivalent publication history 3-5 years of relevant work or research experience, with strong history of independent and autonomous execution on hard machine learning problems Strong background in computer vision and applying machine learning tools to the analysis of large (light) microscopy data Experience with software engineering best practices (e.g. version control, code reviews, etc) Excellent communication and collaboration skills, record keeping ability, and attention to detail
### Preferred Qualifications
- Experience with processing big data in the cloud (e.g. AWS or GCP) Experience with large scale connectomics data and tools (e.g. Neuroglancer, CATMAID, Knossos, CAVE, or equivalent) Strong record of publications in peer reviewed scientific journals a plus.
### In your first six months, you will have…
- Collaborated with academic and industry experts on scaling up ML segmentations solutions (i.e. Volara) to work on datasets of hundreds of TBs or PBs Developed innovative ML approaches for expanding barcoding space Created new ML approaches to extract synaptic connectivity and molecular information not obtainable with EM.
### Within three years, you will have played a critical role in…
- Scaling up the optical connectomics reconstruction pipeline to entire brain areas. Building the pipeline and analyzing the data necessary to demonstrate low-cost reconstructions Pioneering the Focused Research Organization approach to team science and spinning out the first FRO follow-on effort.
### You are:
- Passionate about working in a startup-inspired environment with minimal red tape and very high trust, autonomy and camaraderie Enthusiastic about working with high performers on hard problems in a moonshot, team science environment Mission-driven, and are fired up by an opportunity to work on a highly ambitious connectomics project that will transform neuroscience Committed to open science, and want to see your work lift all boats
### Benefits:
- Total base + variable comp range: $180,900k - $201,000k ($150,750 to $167,500k base comp + Up to 20% additional performance based bonus) This position is structured for fully remote work, with in-office visits for quarterly planning and adhoc hackathons. Excellent medical, dental, and vision insurance through a PPO plan; parental leave. 401(k) with employer matching Generous time off + paid holidays. Wellness allowance for fitness and wellness activities.
$150,750 - $201,000 a year
E11 Bio, LLC is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind.
#J-18808-Ljbffr
  • Mission, Texas, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.