Adamas Knight is exclusively recruiting for an early-stage biotech startup founded by a team of AI and biotech pioneers. Their groundbreaking research lies at the intersection of artificial intelligence and biotechnology, driving cutting-edge advancements aimed at transforming drug discovery, diagnostics, and healthcare. By harnessing SOTA AI, including proprietary language models and NN architectures, they are leading efforts to make AI-driven solutions more accessible within the life sciences sector.
This visionary start-up is focused on advancing the future of AI-driven biotech by solving complex technical challenges in both research and engineering. To realize this ambitious mission, we are building their world-class team of machine learning experts.
The Role
We are looking for aMachine Learning Research Engineerto join the team and contribute to breakthroughs at the intersection of AI and biotech.
You will:
- Lead and oversee machine learning research projects, managing them from ideation through deployment, ensuring alignment with key research goals.
- Design, develop, and implement scalable machine learning models that enhance data-driven drug discovery, precision medicine, and computational biology.
- Create and optimize multi-modal machine learning algorithms, using frameworks such as JAX, PyTorch, and TensorFlow, with applications to vision and language understanding.
- Collaborate with interdisciplinary teams, including computational biologists, bioinformaticians, and data scientists, to apply machine learning insights in transforming biotech products and services.
- Implement rigorous testing and continuous improvement to optimize the performance and accuracy of deep learning models.
- Stay at the forefront of AI research (LLMs), fostering a culture of innovation and scientific discovery for future projects.
We are looking for talented professionals who combine expertise in machine learning and biotech, with a strong drive to push the boundaries of AI applications in the life sciences.
You will need:
- 3+ years of hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and JAX.
- Demonstrated ability to lead research projects independently, with a focus on AI-driven biotech solutions.
- In-depth knowledge of the full stack of machine learning model design, training, evaluation, and deployment, particularly in biotechnology-related domains.
- Proven track record of managing machine learning projects, from concept to implementation, in AI or biotech sectors.
- Experience working with generative models (and hopefully building them from scratch).
- Experience with low-level optimizations like CUDA kernel programming is a plus, but not mandatory.
Benefits/Perks:
- Top-tier salary: Competitive compensation reflecting your expertise and contributions.
- Generous stock options: Early employee stock options with significant ownership potential, allowing you to share in the company’s success.
- Remote-first culture: Work from anywhere while contributing to the biotech revolution.
- Flexible work hours: Work in a way that suits your lifestyle and productivity.
- Off-site company events: Team-building events, with recent gatherings hosted in Germany and Spain.
At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.
