Qualifications

• 5-8 years of experience in machine learning roles, open to non-traditional backgrounds that show relevant skills
• Strong background in deploying machine learning models in live environments
• Proficiency in Python; expertise in frameworks like PyTorch or TensorFlow
• Experience with data pipeline management and distributed systems (e.g., Spark, Airflow)
• Knowledge of experimentation methodologies, including A/B testing
• Strong interpersonal skills for effective cross-functional collaboration
• Agile mindset with a focus on adapting to data-driven insights and priorities
• Awareness of responsible AI practices and able to implement them in projects

Responsibilities

• Build and deploy machine learning models to enhance user experiences and engagement
• Manage end-to-end problem-solving, from data exploration to model deployment
• Develop scalable ML pipelines using technologies like Spark and Airflow
• Utilize modern ML frameworks to design, train, and optimize models
• Contribute to experimentation frameworks for iterating model performance
• Collaborate with Product and Engineering to transform product questions into ML solutions
• Ensure high-quality outcomes through ownership and accountability for project deliverables
• Apply responsible AI practices to ensure fairness and transparency in model development

Benefits

• Access to advanced tools and technologies in machine learning
• Collaborative work environment that values innovation and agility
• Support for professional development and continuous learning
• Opportunities to work on impactful projects that enhance user engagement
• Focus on responsible AI practices, promoting ethical considerations in the technology