Staff Machine Learning Engineer - News, Books, and Stocks Team

In a time where the news and book media landscapes are changing by the day, the company News and the company Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. Our lively and brilliant distributed team consists of client and machine learning engineers who embody the company's values. We inspire, teach, and otherwise enable each other to do the best work of our careers! Our team's outstanding retention rate speaks to our strong culture of respect for our teammates as both engineers and people. Would you like to work on such a team, solving hard problems in machine learning? Terrific! Please join us for the next generation of these apps! Develop datasets, design model architecture, and prompt, train, or fine-tune models. Partner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features. Drive application features from concept, model design, and development all the way to delivery. Lead highly cross-functional software projects. Mentor junior engineers. Be part of our thriving machine learning community at the company. Aptitudes souhaitées • Experience in a technical leadership role. Exigences Minimales • MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable. • At least 5 years of experience shipping machine learning models in products. • Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar. • Experience designing user-facing machine learning features with interdisciplinary partners. • Experience with recommender systems. • Experience with text-centric AI/ML (LLMs, document classification, search, etc.) • Experience delivering high quality software at scale. • Ability to communicate effectively and collaborate with partner teams. • Commitment to encouraging an open and inclusive work environment. #J-18808-Ljbffr