ML Research Scientist

Seer; New York (NY); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative biotech firm is seeking an experienced ML Research Scientist/Engineer to join their team in advancing drug discovery through generative machine learning models. This fully remote position offers the chance to work on cutting-edge projects that push the boundaries of biomolecular design. You will be responsible for developing machine learning tools and collaborating with biological labs on large-scale experiments. If you have a passion for solving complex scientific problems using deep learning and want to make a significant impact in the biotech field, this opportunity is perfect for you.

Qualifications

• 4+ years of experience in developing and deploying deep learning models.
• Ability to synthesize scientific content for complex problems.

Responsibilities

• Develop machine learning tools and libraries for a scalable platform.
• Collaborate with labs on large-scale experiments involving proteins.

Skills

Deep Learning

Machine Learning

Scientific Content Synthesis

Distributed Infrastructure

Job description

AI / ML Talent Advisor @ Seer | Biotech

Seer is currently partnered with an AI-powered drug discovery company pushing the boundaries of generative Machine Learning models for biomolecular design.

They are seeking ML Research Scientists/Engineers with the following experience:

• 4+ years of experience developing and deploying deep learning models
• Ability to synthesize scientific content to address complex, novel problems
• Experience with industrial-scale models on distributed infrastructure

Responsibilities include:

• Developing machine learning tools and libraries to support a scalable, flexible platform
• Collaborating with biological labs conducting large-scale experiments on proteins and cancer cells
• Building and deploying deep learning models, preferably involving LLMs

The role offers competitive salary packages and benefits, with the position being fully remote for candidates on the East Coast.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Science and Research