Machine Learning Engineer

3 weeks ago

Cambridge, United States Enolink Full time

At Enolink, we're on a transformative journey to harness the unparalleled potential of AI in healthcare. Our ambition is to radically improve patient outcomes, accelerate drug development, and optimize healthcare systems through precision medicine. We envision a future where healthcare is intrinsically linked to AI and machine learning, leading to personalized patient care based on individual health histories and distinct health conditions.


Your Role: Machine Learning Systems Engineer


As part of our dynamic team, you will play a pivotal role in building and enhancing the high-performance data processing and ML services that form the backbone of our AI-driven healthcare platform, Enobase. This is your opportunity to work in a vibrant, global ecosystem alongside data scientists, machine learning engineers, healthcare experts, and business leaders. Together, we're dedicated to delivering AI-driven healthcare solutions that could fundamentally change global healthcare delivery.


Responsibilities


  • Develop and scale cutting-edge ML and AI technologies within our Enobase platform, distinguished by its capacity to facilitate both in-house data science work and cross-institutional collaborations through our advanced federated learning capabilities.
  • Design and implement features to streamline ML development workflows, incorporating best practices and leveraging scalable computing resources like Kubernetes and Dask.
  • Create flexible, user-friendly infrastructure to support the diverse ML needs of our data scientists and healthcare partners.
  • Embrace an entrepreneurial spirit, championing openness, transparency, and a collaborative approach in every aspect of your work.


Qualifications


  • 3+ years of professional experience in machine learning, or 1+ years with an advanced degree in computer science, data science, biomedical informatics, or a related field.
  • Proven track record in developing enterprise software for machine learning and data science applications, with a preference for experience in healthcare data environments.
  • Expertise in building and managing large-scale, production-grade data pipelines for ML applications.
  • Ability to thrive in a dynamic, fast-paced environment.
  • Excellent technical communication skills.


Why Join Enolink?


At Enolink, you're not just another employee. You're part of a team that's making a tangible difference in the world. We offer a supportive work environment, opportunities for professional growth, and the chance to be at the forefront of AI in healthcare.


Ready to make an impact? Apply now and be a part of our mission to redefine healthcare through AI.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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