Senior AI Engineer

Curative AIBellevue, WA
11d$155,000 - $195,000Hybrid

About The Position

Curative AI, Inc. is seeking a highly skilled and experienced Senior AI Engineer for our rapidly growing company. Our cutting-edge SaaS AI-driven solutions will transform healthcare management, leading with RCM solutions for streamlined documentation, faster claims processing, enhanced clinical decision support, and much more. As a Senior AI Engineer, you'll play a crucial role in developing and implementing innovative AI solutions that address critical challenges in healthcare. You'll work closely with other AI engineers, software engineers, and domain experts to design, build, and deploy machine learning models that improve patient outcomes, streamline healthcare processes, and ultimately, transform the way healthcare is delivered. You are humble, a dedicated team player, and excited for the road ahead. Come work with a CEO renowned in the AI field with a proven record of building high performing teams, fostering career growth, and creating a positive work culture. Let's make healthcare smarter together.

Requirements

  • You must currently be located in the Seattle Metro Region and able to work hybrid on-site a minimum of three days at our Bellevue location
  • PhD or Master's degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related field highly desired
  • 5+ years of experience in designing, developing, and deploying machine learning models and data science solutions
  • Deep expertise in artificial intelligence (AI) technologies and applications; Natural Language Processing (NLP) and/or Large Language Models (LLM) highly desired
  • Excellent understanding of statistical methods, machine learning algorithms, and AI principles (e.g., supervised learning, unsupervised learning, reinforcement learning)
  • Strong programming skills in Python or other relevant programming languages
  • Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with data analysis tools and techniques (e.g., Pandas, NumPy)
  • Strong problem-solving and analytical skills

Nice To Haves

  • Experience with distributed computing platforms such as Spark and Hadoop (a plus)
  • Health care experience, notably experience with RCM solutions, highly desired
  • Public cloud experience (AWS, GCP, and/or Azure) desired
  • Experience with machine learning fairness and bias mitigation techniques desired
  • Strong communication and collaboration skills

Responsibilities

  • Define and execute data science and AI strategies aligned with business objectives
  • Design, develop, and implement AI and machine learning models using statistical analysis and deep learning algorithms
  • Collect, clean, pre-process, and analyze large and complex datasets from various sources
  • Design and conduct experiments to validate and improve data-driven solutions
  • Deploy and maintain AI models in production environments, ensuring scalability and reliability
  • Integrate AI solutions with existing systems and applications
  • Monitor model performance metrics and implement improvements as needed
  • Collaborate with cross-functional teams to translate business needs into actionable insights
  • Communicate insights and recommendations to stakeholders in a clear and concise manner
  • Stay current with the latest advancements in AI and data science research and best practices
  • Mentor and guide junior data scientists, AI engineers, and analysts
  • Identify and evangelize new AI and data science opportunities within the organization

Benefits

  • Base Salary Range: $155,000 - $195,000 per year (commensurate with experience and qualifications)
  • Target Annual Performance Bonus
  • Equity Package: Generous equity participation in the company's future success
  • Comprehensive benefits package including medical, dental, vision, Life and AD&D insurance. Paid time off and holidays
  • Opportunity to work on cutting-edge AI projects and make an impact on the company's success
  • Chance to make a real impact on the company’s AI strategy and innovation
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