Machine Learning Engineer/Data Scientist

About Contrast

Passion for Healthcare

Technical Excellence

Resilience & Adaptability

Collaborative Spirit

Ethical Integrity

About the role

• Design, develop, and deploy machine learning models for various AI-powered applications.
• Work with large datasets to build, train, and evaluate predictive models and algorithms.
• Collaborate with cross-functional teams to understand business objectives and translate them into machine learning solutions.
• Conduct data preprocessing, feature engineering, and data analysis to derive actionable insights.
• Optimize models for performance and scalability in production environments.
• Stay up-to-date with the latest developments in AI and machine learning, implementing best practices to ensure robust and efficient models.
• Conduct experiments, tune hyperparameters, and apply advanced techniques to improve model accuracy and efficiency.
• Mentor junior team members and contribute to knowledge sharing across the team.

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related fields.
• Strong background in machine learning algorithms, statistical modeling, and data analysis.
• Proficiency in Python, R, or a similar programming language for data manipulation and model development.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of data structures, algorithms, and software development principles.
• Hands-on experience with cloud platforms like AWS, GCP, or Azure for deploying machine learning models.
• Familiarity with data visualization tools like Matplotlib, Seaborn, or similar.
• Excellent problem-solving skills, with a proactive and collaborative approach to work.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

• Experience with deep learning, reinforcement learning, or natural language processing.
• Knowledge of big data technologies such as Hadoop or Spark.
• Prior experience working in an AI-driven company or startup environment.

Compensation:

The base compensation range for the role is: $130,000 - $150,000 based on leveling and desired cash/equity split. Philosophically, we lean towards generous equity grants so that our team truly gets to share in the impact they create.

Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate.

Why Work at Contrast:

• 4 remote weeks per year - work from anywhere.

• Daily meals in our downtown Chicago office.

• Work with cutting-edge AI technology that improves the quality of life for healthcare providers and patient care.

• Dedicated time and budget for personal development, including access to world-class mentors and advisors.

• Collaborate with a world-class, diverse team that is deeply mission-aligned.

• Ownership over your success with the ability to significantly impact company growth.

• Our supporters include top-tier Silicon Valley venture firms, leading minds in AI, and healthcare industry leaders.

Join the Contrast team as a Machine Learning Engineer/Data Scientist and leverage your expertise to make a lasting impact in the rapidly evolving world of AI and healthcare.

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