Staff Software Engineer, Machine Learning Trust & Safety

About the position

As a Staff Software Engineer focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology.

Responsibilities

• Lead the modeling efforts of Tinder's Trust and Safety experiences.
• Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc.
• Lead the research and development of novel algorithms and models, staying at the forefront of advancements in ML technologies.
• Work with big data to improve the accuracy and relevance of models.
• Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives.
• Mentor and guide team members, fostering their growth and enabling them to reach their full potential.

Requirements

• 8+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale.
• PhD or MS in machine learning, computer science, statistics, or another highly quantitative field.
• Hands-on experience in the Trust & Safety domain.
• In-depth knowledge of deep neural networks, particularly in the safety domain.
• Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.
• Proficiency in Python, Java, Scala, or similar programming languages.
• Strong decision-making skills with a bias for action and the ability to navigate ambiguity with confidence.
• Proven leadership abilities to inspire and motivate teams to excel and achieve ambitious goals.

Benefits

• Salary range of $245,000 - $310,000 based on experience and qualifications.
• Hybrid work model requiring in-office collaboration twice per week in Palo Alto, CA.