About this opportunity
SLS Services Limited lists this JavaScript is disabled opportunity in georgia, Vermont. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
Qualifications & Experience
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
Responsibilities
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
Skills / Technical Competencies
Expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow)
Knowledge of LLMs, generative AI, and advanced neural architectures
Strong understanding of GPU-based model optimization
Cloud computing platforms (AWS, GCP, or similar)
Nice to Haves
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.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.