Senior Applied Machine Learning Engineer

Join our team as a Senior Applied Machine Learning Engineer and help us understand and tackle cancer!

Turbine was founded on the premise that a predictive, computational model of biology would revolutionize drug discovery much like computer aided design software transformed engineering. Through millions of simulated experiments, Turbine finds the shortest, safest route for new therapies to reach patients, enabling researchers to focus their resources on fighting disease in the most efficient way possible.

As a Senior Applied Machine Learning Engineer, you'll join one of our modeling team to build simulated cell models and its tooling we create for our upcoming internal and external projects. In an interdisciplinary team of a mixture of computational biologists and ML engineers, you'll have the opportunity to tackle hard, unsolved machine learning problems heavily infused with biology. Apply if you are excited to take part in building a company at the bleeding edge of bioscience and technology.

What we expect?

2-4 years of experience in software engineering, including writing production code

solid coding skills in Python with experience in processing large datasets (e.g. pandas, polars, Spark, SQL, TensorFlow/PyTorch)

fast learner, interested in the domain, and an ability to catch the essence of a complex system or a process

able to solve abstract problems without an imperative specification (instead of micromanaging, we discuss WHY something is needed and let you come up with your own solutions and request support proactively)

an iterative mindset in the development, with good estimation skills

eager to proactively contribute to the planning of our roadmap; you'll have an impact on defining our next step

fluent in English, both spoken and written; great collaboration skills in an agile environment

Nice to have:

fundamental ML knowledge - statistical modeling basics, train/test split, bias/variance tradeoff, model evaluation metrics

hands-on experience with biological dataset processing for analysis and ingress of various training data sources (in vitro, in vivo, PDX, patient)

5+ years of experience in the field

What we offer?

a place to use your software engineering skills to advance medical research

a gateway into the field of biotechnology; if you'd like, you can learn about bioinformatics, cellular biology, drug research, and the use of AI in biotech during your everyday job

a cutting-edge cloud and data stack where you'll work with today's hot technologies: scientific Python, Databricks, Microsoft Azure, GitHub, and so on

a cohesive, mid-size engineering organization with several teams and a democratic decision-making culture

a competitive salary and additional benefits

choose your own workstyle: we support office and remote work as well

You are a Turbiner if these personality traits apply to you 

You have self-awareness and strong intention on personal growth 

You seek out feedback and learn from mistakes and apply what you learned 

You take responsibility and focus on the outcomes over tasks 

You focus on shared success and are open to challenging others respectfully to get the best possible outcome 

You are in it for the long haul and have passion for our mission