Staff Machine Learning Engineer — United States

For our client, we are seeking a Staff Machine Learning Engineer to join the team of a leader in the Education, Government & Non-Profit space.

This role will shape and scale machine learning capabilities that support a mission-driven organization working at the intersection of technology and public impact. You will own model and system development from end to end, with a particular focus on production-scale computer vision and NLP applications. The position also plays a key role in setting engineering standards, improving data practices, and partnering across functions to strengthen technical execution and outcomes.

Location: Remote

Compensation: $171,000 – $235,750 annually

Responsibilities

• Own end-to-end development of machine learning models and systems

• Lead design and engineering standards for machine learning initiatives

• Support debugging and code reviews for team projects

• Define and manage data sourcing and labeling strategies

• Collaborate with specialists to create data labeling guidelines

• Identify opportunities for system improvements and best practices

• Represent the organization as a thought leader in technical forums and conferences

Qualifications

• 8+ years of experience in machine learning or AI, with 3+ years in production-scale computer vision or NLP systems

• Ph.D. or master's degree in a quantitative field, or equivalent experience

• Strong ability to work with ambiguous and shifting requirements

• Proven track record in collaborating with diverse stakeholders

• Clear and effective communication skills, particularly in a distributed team environment

• Passion for machine learning and commitment to user advocacy

• Ability to independently identify opportunities and propose scalable solutions

Benefits

• Remote-first work model with occasional travel for in-person events

• Opportunity for professional development in a mission-driven organization

• Diverse and inclusive workplace culture that values various experiences and perspectives

• Supportive environment for collaboration with cross-functional teams

• Wide range of employee benefits to promote work-life balance

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.