Responsibilities

• Collaborate with product teams to define business objectives and improve trust and safety strategy.
• Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
• Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.
• Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, learning models, Reinforcement learning models, and Large Language Models.

Requirements

• Individuals who are completing or have recently completed a Bachelor's/Master's degree in computer science or a related discipline.
• Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas.
• Strong coding skills.
• Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.

Benefits

• Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.