Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Durham, North Carolina, United States
Key technologies and capabilities for this role
Common questions about this position
This is a hybrid role based out of Durham, NC.
Candidates need a Bachelor's Degree in Computer Science, Applied Mathematics, Engineering, or equivalent practical experience, plus 5+ years of experience building and deploying machine learning and AI models in production. Required skills include experience in Python, SQL, and at least one deep learning framework like PyTorch or TensorFlow, along with experience in applied ML areas such as Recommendations, Personalization, LLMs, or LLM Evals.
This information is not specified in the job description.
The company values humility, collaboration, and a commitment to learning, welcoming applicants from diverse backgrounds. It emphasizes making a real impact through applied machine learning and has a deep connection with the HIV community.
Strong candidates will have the required degree or equivalent, 5+ years of production ML/AI experience, proficiency in Python, SQL, and a deep learning framework, plus hands-on experience in applied ML fields like recommendations or LLMs, along with a collaborative mindset.
Connects healthcare facilities with nursing professionals
Actriv Healthcare connects healthcare facilities with nursing professionals through a digital platform designed for healthcare staffing. The platform allows nursing professionals to create their own schedules, select preferred workplaces, and contribute to patient care. Users download the Actriv app, complete their application, upload credentials, and schedule an interview. Once approved, they can choose shifts that fit their availability, clock in and out for work, and receive payment, along with benefits like vacation and sick time. Actriv stands out from competitors by emphasizing flexibility in work schedules and leveraging technology to streamline the staffing process. The company's goal is to enhance patient care by providing healthcare facilities with the staffing solutions they need while offering nursing professionals the flexibility they desire.