Sr Machine Learning Engineer - $200k, Remote

Senior Machine Learning Engineer

Are you an accomplished software engineer looking for a new challenge that leverages your expertise in machine learning? Imagine a role where you can make a significant impact on the future of the financial system, all while working with cutting-edge technologies and a team that values innovation and collaboration.

As a Senior Machine Learning Engineer, you'll be at the forefront of building critical infrastructure that powers the open financial system. You'll work with diverse data sources, including the blockchain, to provide millions with access to cryptocurrency and protect against malicious activities. Beyond security, you'll enhance user experiences by integrating intelligence into recommendations, risk assessments, chatbots, and more, making our product both secure and user-friendly.

Our ML team is part of the Platform Product Group, dedicated to creating a trusted, scalable, and compliant platform. This group builds the foundations used by multiple products and teams, ensuring a consistent and high-quality user experience.

Role Review:

• Explore and apply advanced machine learning techniques, such as deep learning, large language models (LLMs), and graph neural networks, to solve diverse challenges like fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.
• Develop and deploy robust, low-maintenance machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources, fostering a culture of widespread ML adoption.

What You Bring:

• Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• Proficiency in one or more areas: data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
• Embody core cultural values: add positive energy, communicate clearly, be curious, and be a builder.

Additional Assets:

• PhD with 3+ years of relevant experience, or MS in Computer Science, Machine Learning, Data Mining, Statistics, or related field with 5+ years of relevant experience.
• Experience with Python.
• Skills in data analysis and visualization

Pay: Depending on your location, the target annual salary for this position varies. Full-time offers include a target bonus, target equity, and benefits (medical, dental, vision, and 401(k)).

Desired Skills and Experience
Python, deep learning, large language models (LLMs), and graph neural networks