Senior Machine Learning Engineer
Há 1 mês
Sword Health, Inc. is a pioneering digital musculoskeletal care provider on a mission to free two billion people from physical pain. Our cutting-edge technologies and personalized care programs have proven to deliver best-in-class clinical results, making us a leader in the industry. We're excited to continue accelerating our impact by scaling with high-caliber professionals who share our passion for innovation and human progress.
The AI Team:
Our AI team is dedicated to leveraging AI and ML to provide high-quality clinical care at unprecedented levels of personalization and scale. We work closely with our clinical team to develop ML-powered features that identify the best course of action for each patient, while ensuring a holistic perspective and considering relevant nuances. Our goal is to create an AI care experience that's as close as possible to a 1:1 session with a physical therapist.
What You'll Be Doing:
As a Senior ML Engineer, you'll contribute to designing, building, evaluating, shipping, and improving Sword's products through hands-on AI/ML development. You'll develop and maintain data processing pipelines, work with the Product, Data & Engineering Teams to define and implement AI/ML-powered features, and share your knowledge and experience of building ML systems. You'll also help grow the AI/ML function by defining and promoting best practices, identifying and spearheading initiatives for adding AI/ML capabilities to Sword's products, and navigating uncertainty and time-to-value tradeoffs.
What You Need to Have:
We're looking for a highly experienced Machine Learning professional with a strong background in implementing and maintaining production machine learning systems. You should have solid experience in SQL and Python, as well as experience developing production software. You should also have working knowledge of the Python data stack, experience leading and owning complex and ambiguous projects, and experience providing technical oversight and mentoring colleagues. Additionally, you should be able to learn quickly, dive deep into new problems and fields, communicate concepts clearly, and interface with both technical and non-technical stakeholders.
Bonus Points:
Experience working in a fast-paced environment, wearing different hats, building data processing pipelines, shipping applications using LLMs and Generative AI, and using cloud platforms like GCP or AWS are all highly valued. We offer a stimulating, fast-paced environment with lots of room for creativity, a bright future at a promising high-tech startup company, career development and growth, a competitive salary, and a flexible environment where you can control your hours (remotely) with unlimited vacation. We also offer access to our health and well-being program (digital therapist sessions) and a remote or hybrid work policy.
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