Senior Machine Learning Software Engineer
4 semanas atrás
At our company, we are committed to making a significant impact in the field of musculoskeletal care. As a Senior ML Engineer, you will be part of a team that develops innovative technologies to provide high-quality clinical care at unprecedented levels of personalization and scale.
You will work closely with our clinical team to design, build, evaluate, ship, and improve our products using hands-on AI/ML development. Your responsibilities will include developing and maintaining data processing pipelines, collaborating with the Product, Data & Engineering Teams to define and implement AI/ML-powered features, and sharing your knowledge and experience of building ML systems.
RequirementsWe are looking for a highly experienced professional with a strong background in Machine Learning. Your skills should include 4+ years of professional experience in Machine Learning, hands-on experience implementing and maintaining production machine learning systems, solid experience in SQL and Python, and working knowledge of the Python data stack.
Additionally, you should have experience leading and owning complex and ambiguous projects from ideation to completion/maintenance, providing technical oversight and mentoring colleagues, and communicating concepts clearly and interfacing with both technical and non-technical stakeholders.
What We OfferWe offer a stimulating, fast-paced environment with lots of room for creativity, a bright future at a promising high-tech startup company, and career development and growth with a competitive salary. You will also have the opportunity to work with a talented team and add real value to an innovative solution with the potential to change the future of healthcare.
We provide access to our health and well-being program, digital therapist sessions, and a flexible environment where you can control your hours (remotely) with unlimited vacation. Our remote or hybrid work policy allows you to maintain a healthy work-life balance.
Hiring ProcessThe hiring process will consist of a series of interviews, including a 30-minute call with the recruiter, a 30-minute call with an initial screener, a take-home assignment, a general skills and working principles interview, and a mindset and cultural fit interview.
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