Machine Learning Researcher (AI & Life Sciences)

Rise Technical; United States; Remote; USD 200,000 - 300,000; Full time

Benefits offered by this job

Equity

Healthcare Insurance

401k

PTO

Job summary

Rise Technical is seeking a Machine Learning Researcher to lead advanced AI research for drug discovery. This fully remote role in the United States offers the chance to shape foundational models and practical applications in biotech.

You will design, train and benchmark state-of-the-art ML systems, collaborate with scientists, publish results, and contribute to open-source projects. A PhD and strong Python/PyTorch/JAX expertise are required.

Qualifications

• PhD in Machine Learning or related STEM field with 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 with publications or open-source contributions.

Responsibilities

• Research and develop advanced machine learning models and 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.

Skills

PhD in ML

Python

PyTorch

JAX

Agentic systems

In-context learning

Few-shot learning

Tabular ML

Publications

Open-source

Education

PhD in Machine Learning

Tools

Python

PyTorch

JAX

Job description

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.