Machine Learning Engineer/Data Scientist

About Contrast

Contrast is building the future of healthcare – where artificial intelligence, automation technology, and electronic healthcare records converge to revolutionize patient care, streamline processes, and create a lasting impact on the well-being of society. Our team believes the following qualities, combined with a relentless drive, will propel us towards our goal of building industry-changing solutions. If this resonates with you, we're eager to meet.

Passion for Healthcare

A deep-seated commitment to revolutionizing healthcare through technology, and an understanding of the unique challenges and nuances of the industry.

Technical Excellence

While specific skills vary by role, a foundational understanding of technology's potential in healthcare is crucial. We seek those who are eager to expand upon this knowledge.

Resilience & Adaptability

The startup journey is filled with highs and lows. We seek individuals who can navigate these fluctuations, adapt quickly, and remain undeterred by setbacks.

Collaborative Spirit

The belief that the best results arise from team efforts. Candidates should possess the ability to communicate effectively and work with diverse groups.

Ethical Integrity

Upholding the highest standards of ethical behavior and understanding the profound responsibility we have in the healthcare sector.

About the role

Contrast AI is seeking a highly skilled and innovative Machine Learning Engineer / Data Scientist to join our team. As part of Contrast AI, you will work on cutting-edge AI solutions, contributing to the development of intelligent systems that push the boundaries of machine learning and data-driven technologies. You will collaborate closely with our software engineers and data scientists to design, implement, and optimize AI models that address real-world challenges for our clients.
What you'll do

• 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

• Dail