This role will focus on designing and implementing applied machine learning solutions that support advanced retrieval and generative AI capabilities. You will partner with stakeholders and cross-functional teams to translate business needs into practical ML approaches that improve solution performance and delivery. The position also offers the opportunity to mentor team members, shape technical direction, and contribute to innovation in a hands-on, collaborative environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $123,000 – $180,400 annually

Responsibilities

Design and implement machine learning solutions for retrieval-augmented generation platforms
Conduct data analysis to create datasets for ML model training
Work collaboratively to enhance solutions and stay on the technology edge
Mentor less-experienced team members on key ML features
Engage with stakeholders to address critical business needs
Translate business objectives into solvable ML challenges

Qualifications

Master's or PhD in Computer Science, Statistics, Mathematics, or a related field
3+ years of experience in Machine Learning
Hands-on experience with Natural Language Understanding (NLU)
Proficiency in the Python ML stack, including Pandas and deep learning frameworks
Knowledge of experimental design and results analysis
Experience leading Machine Learning teams in production
Ability to collaborate in cross-functional teams for ML solutions deployment

Benefits

Emphasis on continuous learning and personal development
Supportive and collaborative team culture
Opportunities for technical leadership
Agile work environment emphasizing hands-on problem solving
Involvement in cutting-edge technologies and methodologies

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.