Senior Machine Learning Engineer

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Overview

Adamas Knight is currently recruiting for an early-stage biotech startup that merges the fields of artificial intelligence and biotechnology. This innovative venture aims to revolutionize drug discovery, diagnostics, and healthcare by employing cutting-edge advancements powered by machine learning. They focus on using State of the Art AI (SOTA AI) technologies, including proprietary language models and neural network architectures, to make AI-driven solutions accessible within the life sciences sector. The company is creating a world-class team of machine learning experts to tackle complex technical challenges.

Job Position

The position available is for a Senior Machine Learning Engineer who will play a pivotal role in contributing to breakthroughs at the intersection of AI and biotech. The engineer will lead and supervise various machine learning research projects, manage these initiatives from ideation through deployment, and ensure that they align with key research objectives.

Responsibilities

In this role, responsibilities will include:

• Leading and overseeing machine learning research projects, ensuring that they align with strategic goals.
• Designing, developing, and implementing scalable machine learning models that can enhance data-driven drug discovery, precision medicine, and computational biology.
• Creating and optimizing multi-modal machine learning algorithms utilizing frameworks like JAX, PyTorch, and TensorFlow, especially in applications regarding vision and language understanding.
• Collaborating with interdisciplinary teams including computational biologists, bioinformaticians, and data scientists to apply machine learning findings in transforming biotechnology products and services.
• Implementing rigorous testing and continuous improvement to optimize and ensure the performance and accuracy of deep learning models.
• Staying updated on the latest in AI research (including large language models) to foster a culture of innovation and scientific discovery for future projects.

Required Skills

Candidates interested in the position are expected to possess the following skills and qualifications:

• A minimum of 3+ years of hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and JAX.
• A demonstrated ability to lead research projects independently, specifically focusing on AI-driven biotech solutions.
• In-depth knowledge regarding the entire lifecycle of machine learning models which includes design, training, evaluation, and deployment in biotechnology-related domains.
• A proven history of managing machine learning projects, from initial concepts to full implementation, in sectors relating to AI or biotech.
• Experience with generative models is advantageous, particularly if the candidate has built them from scratch.
• While not mandatory, experience in low-level optimizations such as CUDA kernel programming is considered a plus.

Salary and Benefits

While specific salary figures are not disclosed, the role offers a competitive compensation package that reflects experience and contributions. Furthermore, there are generous stock options which provide early employee stock options and potential ownership benefits.

Additional perks include:

• A remote-first culture, allowing team members to work from anywhere.
• Flexible work hours to accommodate individuals' productivity and lifestyle needs.
• Opportunities to participate in off-site company events, with past gatherings held in Germany and Spain.

Company Culture

Adamas Knight is committed to creating an inclusive workplace environment. They emphasize the importance of diversity and do not discriminate based on various personal or social factors, including but not limited to race, religion, gender, national origin, sexual orientation, age, veteran status, and disability. They actively encourage applicants from all backgrounds to consider joining their team.

Conclusion

The Senior Machine Learning Engineer position at Adamas Knight provides a unique opportunity for qualified professionals looking to push the boundaries of AI applications within life sciences. With their innovative approach and commitment to cutting-edge research in AI-driven biotechnology, successful candidates will find themselves at the forefront of transforming healthcare and drug discovery processes. If you possess the necessary skills and a passion for combining machine learning with biotech, this position may be the perfect fit.

This job offer was originally published on jooble.com