Staff Machine Learning Engineer

Summary

Join Inspiren as a Staff Machine Learning Engineer and lead the design, development, and deployment of complex machine learning solutions. You will be a key technical leader, collaborating with cross-functional teams to create scalable systems and deliver high-impact projects. This role requires 8+ years of experience in machine learning and a proven track record of deploying models into production. You will mentor junior engineers and contribute to a culture of technical excellence. The position offers a competitive salary ($225-$250k + equity + benefits), flexible PTO, and a remote work option (US, Canada). Make a meaningful impact on patient care by applying today!

Requirements

• 8+ years of professional experience in machine learning, software engineering, or a similar domain
• 5+ years with machine learning algorithms, model development, and model deployment
• 3+ years in advanced algorithm design and analysis
• Demonstrated ability to provide technical leadership, mentor team members, and drive consensus among diverse stakeholders
• Proficiency in Python, R, or Scala languages for data science
• Experience with TensorFlow, Keras, or PyTorch for neural network modeling
• Familiarity with model evaluation metrics and validation strategies
• Ability to optimize machine learning models for performance
• Proven track record of deploying machine learning models into production
• Documented experience improving model scalability and efficiency
• History of developing innovative solutions using machine learning
• Excellent communication and presentation skills, with the ability to explain complex ideas clearly and concisely
• Proven ability to collaborate effectively in a cross-functional environment

Responsibilities

• Design and develop advanced algorithms to address complex business challenges
• Research and implement cutting-edge machine learning models and techniques
• Prototype new models and evaluate their performance through simulation
• Optimize machine learning models to achieve faster speed and greater efficiency
• Implement feature selection and engineering techniques to boost model performance
• Evaluate machine learning models to ensure they deliver accurate and relevant results
• Set clear success benchmarks and diligently monitor performance against these criteria
• Provide technical guidance and mentor junior machine learning engineers
• Lead and collaborate with cross-functional teams to resolve complex data challenges effectively

Benefits

• The annual salary for this role $225-$250k + equity + benefits (including medical, dental, and vision)
• Flexible PTO
• Location: Remote, US, Canada