Remote Machine Learning Engineer

We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.

Design, develop, and implement machine learning models and algorithms

Analyze large datasets and extract meaningful insights

Collaborate with cross-functional teams to integrate ML solutions into existing systems

Optimize ML models for performance and scalability

Stay current with the latest advancements in machine learning and AI

Create and implement big data processing pipelines and architectures

Design and build scalable data infrastructure to support ML applications

Bachelor's or Master's degree in Computer Science, Data Science, or related field

3+ years of experience in machine learning or AI development

Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)

Solid understanding of machine learning algorithms and statistical modeling

Experience with big data technologies (e.g., Hadoop, Spark, Kafka)

Proven ability to create and implement big data solutions from scratch

Comfortable setting up and managing distributed computing environments

Experience in designing and implementing data pipelines for large-scale data processing

Proficient in working with various database systems, both SQL and NoSQL, depending on the use case

Strong skills in data modeling and database design for machine learning applications

Excellent problem-solving and analytical skills

Strong communication skills and ability to work in a team environment

Experience in creating and managing real-time data streaming architectures

AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty

Experience with AWS machine learning services

Proficiency in using AWS big data services

Knowledge of serverless architectures on AWS (e.g., Lambda)

Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)

Understanding of AWS security best practices for machine learning and data processing workflows

Be a member of a world-class team focused on inventing solutions that have the ability to impact the world

Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code base

Help build a beautiful, intuitive product that revolutionizes the nonprofit industry

Work closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles