Rise Technical
Machine Learning Researcher (AI & Life Sciences)
Skills
13 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
9 October 2026
What they need
Machine Learning Researcher (AI & Life Sciences)
Remote – United States
$200,000 – $300,000 + Equity + Healthcare Insurance + 401k + PTO
Are you an experienced Machine Learning Researcher looking to work on cutting-edge AI technologies that could transform the future of drug discovery?
This is an exciting opportunity to join a growing, innovative biotechnology company developing advanced AI and machine learning solutions to accelerate the discovery of new medicines. The company is investing heavily in research and innovation, creating an environment where talented researchers can make a genuine impact.
In this role, you will take ownership of innovative machine learning research projects, developing advanced models and intelligent systems to solve complex scientific challenges. You will work closely with experienced researchers and scientists to explore new approaches and translate research into practical applications.
This is a fantastic opportunity for an ambitious researcher looking to lead impactful projects, publish novel research and play a key role in developing next-generation AI technologies within a collaborative, research-focused environment.
The Role:
*Research and develop advanced machine learning models and intelligent systems.
*Design and train foundation models to support drug discovery research.
*Explore in-context learning, few-shot learning and model adaptation techniques.
*Conduct rigorous experiments, benchmarking and model evaluations.
*Collaborate with scientists to translate research into practical applications.
The Person:
*PhD in Machine Learning or related STEM research involving novel ML methods.
*Strong experience developing and training ML models using Python, PyTorch or JAX.
*Research expertise in agentic systems, in-context learning, few-shot learning or tabular ML.
*Strong research track record, including publications or open-source contributions.
*US Citizen or Green Card Holder
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