Senior Machine Learning ScientistSignify Technology • San Francisco, CA, United States
Senior Machine Learning Scientist
Signify Technology • San Francisco, CA, United States
2 days ago
Job type
- Full-time
Job descriptionStrong background in machine learning, particularly multi-modal, self-supervised, or unsupervised learning with imaging data. Experience in applied computer vision research and model development. Deep learning expertise applied to challenging or non-standard modeling problems. Familiarity with molecular property prediction, generative modeling, or ML for chemistry and biology. Experience with cell imaging data or other biological imaging modalities is highly valued. Track record of impactful research and / or production ML systems. Ability to thrive in a fast-moving, entrepreneurial environment and contribute to projects from 0 to 1. Fully Covered Medical, Dental, and Vision Insurance Paid Time Off Parental Leave Free Lunches Team Building Events Collaborative Team environment Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.
Overview
Join to apply for the Senior Machine Learning Scientist role at Signify Technology . Get AI-powered advice on this job and more exclusive features.
Job Title
Senior Machine Learning Scientist
Salary
$200k - $300k + Equity
Location
San Francisco, CA (On-site)
Responsibilities
- Define and build end-to-end ML / AI systems, including data creation, data cleaning / processing, model development, training, inference, and deployment.
- Lead R&D efforts on novel models for understanding the intersection of chemistry and biology.
- Architect and scale large models trained on paired chemistry and biological imaging data.
- Establish the foundation of a strong research culture focused on advancing applied ML in science.
- Explore and drive innovation in molecular graph representations, contrastive learning for chem / bio, semi-supervised learning on biological images, and generative models (e.g., diffusion) for biological data.
- Collaborate with scientists and engineers to translate cutting-edge ML techniques into impactful products and tools.
- Contribute to both research leadership and product development, taking projects from concept to real-world application.
Qualifications
Benefits
Accessibility Statement
Diversity Commitment
Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.
#J-18808-Ljbffr
Create a job alert for this search
Machine Learning Scientist • San Francisco, CA, United States