Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and software development, with at least 3 years of experience in building applications that leverage AI technologies. Your expertise in Python is complemented by hands-on experience with machine learning frameworks such as TensorFlow and Keras, allowing you to develop robust models that drive scientific insights. You understand the complexities of the discovery and preclinical development cycle, having worked closely with research teams to translate biological data into actionable strategies. Your ability to design multi-step workflows that integrate various analysis modules is a key asset, enabling scientists to make informed decisions based on real-time data.

You are a collaborative team player who thrives in a dynamic environment, eager to engage with scientists and program teams to understand their needs and challenges. Your communication skills allow you to articulate complex technical concepts to non-technical stakeholders, ensuring that your applications are user-friendly and impactful. You are passionate about the ethical implications of AI in healthcare and are committed to building inclusive systems that benefit diverse populations. You believe in the power of representation and actively seek to include a range of perspectives in your work.

Desirable

Experience with data visualization tools and techniques is a plus, as it enhances your ability to present findings effectively. Familiarity with cloud platforms such as AWS or GCP can also be beneficial, as it allows for scalable deployment of machine learning models. A background in biology or a related field will help you better understand the scientific context of your work, making you a more effective contributor to the team.

What you'll do

As a Machine Learning Engineer at Mithrl, you will play a pivotal role in developing the application layer of our AI Co-Scientist platform. Your primary responsibility will be to design and implement high-level scientific workflows that facilitate decision-making in drug discovery. You will collaborate closely with scientists to understand their requirements and translate them into technical specifications, ensuring that the applications you build are tailored to their needs.

You will be responsible for integrating various analysis modules into cohesive workflows, enabling researchers to discover biomarkers, validate targets, and design experiments efficiently. Your work will directly impact the speed and accuracy of scientific discoveries, as you help streamline processes from early target hypotheses to preclinical validation. You will also engage in model training and deployment, ensuring that the machine learning algorithms you develop are robust and reliable.

In addition to technical development, you will participate in cross-functional meetings to discuss project progress and gather feedback from stakeholders. Your insights will help shape the direction of the platform and enhance its capabilities. You will also have opportunities to mentor junior team members, sharing your knowledge and expertise to foster a collaborative learning environment.

What we offer

At Mithrl, we are committed to creating a workplace that values diversity and inclusion. We offer competitive compensation packages, including salary and benefits that reflect your skills and experience. You will have the opportunity to work on groundbreaking technology that has the potential to transform the pharmaceutical industry and improve patient outcomes.

We believe in supporting our employees' professional growth and development. You will have access to training resources and opportunities to attend industry conferences, allowing you to stay at the forefront of advancements in machine learning and drug discovery. Our team culture encourages innovation and collaboration, making it an exciting place to contribute to meaningful work.

Join us at Mithrl and be part of a mission-driven team that is dedicated to accelerating the pace of scientific discovery through AI. Together, we can make a difference in the lives of patients around the world.