ML​/AI Research Engineer

Are you passionate about pushing the boundaries of AI, ML, and drug discovery? We are partnering with a cutting-edge drug discovery innovator that is on the lookout for exceptional talent to join their fast-growing team. With opportunities available at both junior and senior levels, this is your chance to work on next-generation Large Language Models (LLMs) and GPU-accelerated pipelines to revolutionize how new medicines are discovered.

Offering a hybrid or fully remote arrangement, this East Coast-based role is ideal for forward-thinking engineers who want to make a tangible impact.
The Employer

This is a mid-sized, pioneering biotech organisation that combines advanced AI techniques with scientific expertise to accelerate the development of life-changing therapies. With a collaborative culture and strong industry backing, they are committed to innovation, agility, and making a real difference to patient lives. This company thrives at the intersection of technology and biology, making it an inspiring place for ambitious engineers who want to see their work shape the future of medicine.

• Degree in Computer Science, Engineering, or a related field (Master’s/Ph.D. advantageous for senior roles)
• Proven experience in Machine Learning, Deep Learning, or AI systems
• Industry experience in biotech, pharma, or related fields preferred but not essential for junior roles

You’ll play a leading role in developing AI-driven strategies for drug discovery, including:

• Designing, training, and refining machine learning models and large-scale neural networks
• Implementing and optimizing algorithms for GPU-based environments
• Collaborating closely with scientists to integrate AI with experimental data
• Staying ahead of emerging trends in AI-driven drug development

• Expertise in Python and ML frameworks (e.g., PyTorch, Tensor Flow)
• Knowledge of LLMs, generative AI, and advanced neural architectures
• Strong understanding of GPU-based model optimization
• Cloud computing platforms (AWS, GCP, or similar)

• Background in computational chemistry, cheminformatics, or biology
• Experience with multi-modal data integration
• Familiarity with distributed systems and high-performance computing

Take the next step in your career and be part of a mission-driven company where AI-meets-medicine.