Machine Learning engineer

The Motion & Interaction team has created intuitive experiences for our customers through motion sensing. When you simply raise your wrist, shake your head, or move your device to interact, it's the work of engineers and scientists on this team. Our fingerprints can be found across core capabilities and experiences on iPhone, Watch, AirPods, Vision Pro, and other Apple products.\\n\\nWe are a multidisciplinary team that operates at the intersection of algorithms, software, hardware, and design.

RESPONSIBILITIES: Kforce has a client that is seeking a Machine Learning Engineer in Los Angeles, CA. REQUIREMENTS: * Bachelor's degree in Computer Science, Artificial Intelligence, Informatics or closely related field; Master's degree in computer science, engineering or closely related field preferred * 3 or more years relevant Machine Learning Engineer Experience * Experience in managing end-to-end ML lifecycle * Experience in managing automation with Terraform * Containerization technologies

As passionate about our people as we are about our mission. Why Join Q2? Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers. What Makes Q2 Special? Being as passionate about our people as we are about o

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using Machine Learning and Generative AI at