Advanced Machine Learning Engineer

New York, New York, United States

Full Time Mid-level / Intermediate USD 43K - 74K *
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BenevolentAI

BenevolentAI is revolutionising drug discovery and development with AI and machine learning to empower scientists to discover new ways to treat disease.
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With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.


The Role

The Machine Learning Engineering team is an interdisciplinary group focused on applying engineering rigour to machine learning problems on the BenevolentAI software platform. To carry out our role, you understand discoveries in machine learning algorithms, as well as the impact of a well-engineered model training and deployment infrastructure with a reliable data pipeline - and innovate on all.

BenevolentAI is committed to growing diverse and inclusive teams. We welcome you to apply if the job description as a whole appeals, even if there are specific areas where you don’t have previous experience!


Primary Responsibilities:

  • Design and implement reusable and maintainable AI models that solve drug discovery problems.
  • Bridge AI research and software development teams to speed up concept-to-production transition.
  • Promote machine learning best practices, such as: scalable training and deployment, model introspection and evaluation, new state-of-the-art implementations, etc.
  • Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc.


Additional Responsibilities:

  • As a member of the Engineering team, you will be responsible for helping to define new directions and scope for existing and new software.
  • As a member of the Target Identification product team, you will be interfacing with users including Drug Discoverers and Bioinformaticians.


We are looking for someone with:

  • Degree in Computer Science, Machine Learning, Artificial Intelligence (BSc/MSc/PhD) or related academic discipline.
  • Strong in at least one programming language (Python preferred).
  • Basic algorithms and data structures for software development.
  • Knowledge of modern tools for ML such as Tensorflow, Pytorch, etc.
  • Knowledge of modern MLOps tools such as Kubeflow, MLFlow, Sagemaker, etc.
  • Experience implementing machine learning workflows.
  • Awareness and passion for the state-of-the-art in machine learning.
  • Understanding of distributed systems and microservice architectures.
  • Experience developing at least one of the following software systems: databases, APIs, microservice architectures, web frameworks, core machine learning libraries.
  • Experience in at least one of the following software domains: frontend development, backend development, data processing pipelines.
  • Basic knowledge of biology, and/or experience working with biomedical data is a plus.
  • Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery, is a plus.


About us

BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. BenevolentAI has a consistently proven track record of scientifically validated discoveries. The BenevolentAI Platform™ powers a growing in-house pipeline of over 20 disease programmes, spanning from target discovery to clinical studies, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.

We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.


Want to do a little more research before you apply?

Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: Distributed Systems Engineering Machine Learning ML MLFlow MLOps Model training PhD Python PyTorch Research SageMaker TensorFlow

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  4  0  0
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