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20 open positions · Updated 1 week ago
20 Machine Learning roles across 6 companies, most in AI/ML; typical advertised salary $183k
Who is hiring (6 companies)
Role types
Work arrangement: 10 hybrid · 4 on-site · 6 not stated
Advertised salaries: p25 $170k · median $183k · p75 $215k (from 13 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 20 positions
Search with filters →Join Zipline as a Software Engineer focusing on offboard systems for autonomous drones, leveraging AI and machine learning.
Join Zipline as a mid-level software engineer focusing on autonomy and perception for onboard systems.
Join Zipline as a Software Engineer focusing on autonomy and perception in a dynamic growth environment.
Join Neuralink's BCI team as a Machine Learning Engineer to develop cutting-edge neural interface solutions.
Join Neuralink as a Neuroengineer to develop next-gen brain-computer interfaces and contribute to groundbreaking neurological solutions.
Join Neuralink as a Neuroengineer Intern to work on innovative brain-computer interfaces and contribute to groundbreaking neuroscience projects.
Join Neuralink as a Machine Learning Engineer Intern to develop neural decoders for advanced Brain-Computer Interfaces.
Join Xaira Therapeutics as an AI in Residence to apply advanced AI in drug discovery and development.
Join Xaira Therapeutics as an AI Scientist to develop AI models for drug discovery and single-cell biology.
Join Atomic AI as a Scientist to develop machine learning models for RNA structure prediction and drug targeting.
Join Phylo as a Member of Technical Staff to advance AI agents for biomedical discovery through engineering and evaluation.
Join insitro as a Senior Data Scientist to leverage multimodal data for drug development in a vibrant biotech startup.
Join insitro as Counsel/Senior Counsel to support legal operations in a fast-paced AI-driven drug discovery environment.
Lead and grow a team of machine learning researchers to develop methods for extracting insights from in-vitro microscopy datasets.
Join insitro as VP to lead the development of innovative bioassays and cell models for drug discovery using machine learning.
Join insitro as a Senior Scientist to develop iPSC-derived cardiomyocyte models for cardiovascular disease research.
Join insitro as a Senior Manager to lead project and portfolio management for innovative drug discovery in a hybrid work environment.
Lead the Project & Portfolio Management team to advance drug candidates using AI/ML in a hybrid role at insitro.
Join insitro as a Senior ML Scientist to develop machine learning methods for biological data analysis in a vibrant biotech startup.
Join insitro as a Senior Machine Learning Scientist to develop ML-driven computer vision pipelines for drug development.
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