Signify Technology
Senior Machine Learning Scientist
Signify Technology, San Francisco, California, United States, 94199
Overview
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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
Strong 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.
Benefits
Fully Covered Medical, Dental, and Vision Insurance
Paid Time Off
Parental Leave
Free Lunches
Team Building Events
Collaborative Team environment
Accessibility Statement
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.
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.
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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
Strong 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.
Benefits
Fully Covered Medical, Dental, and Vision Insurance
Paid Time Off
Parental Leave
Free Lunches
Team Building Events
Collaborative Team environment
Accessibility Statement
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.
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