Location: Remote, East Coast or Canada Role: Lead Machine Learning Engineer Salary: Flexible Working Pattern: Open to remote in eastern timezones. AI Safety has become one of the hottest topics in the industry. Would you be open to working for a household name committed to ethical development? NeuralRec has partnered with a global technology company to secure a Lead Machine Learning Engineer, specifically working on their Generative AI initiatives. You will be focused on building sustainable AI as they put the customer first and at the heart of development in this exciting greenfield build. Being a key player in technology for many years, their platform has gathered 100's of millions of MAUs and curates top-tier content; they are poised to continue to shape AI. The role combines a mix of engineering and model development (full-stack), where you will engineer cutting-edge NLP research models from the ground up and take them through to deployment. You will also play a key part in developing their internal LLM platform. To be successful in the role, you'll be required to work closely with the wider engineering team to develop these state-of-the-art features. Previous experience in solving complex Deep Learning and NLP problems (or associated fields) end-to-end is a must, with strong classical machine learning knowledge being essential. In return, you'll work on impactful AI problems with an organisation determined to use AI to benefit the people, where you'll see your work be used for good. You will also receive a wider benefits package that would be expected within a large technology company. The business is well-funded and offers all the excitement of a start-up whilst providing the financial security of a large tech company. Company: NeuralRec Qualifications: Senior (5+ years of experience) Minimum Requirements: Previous experience in solving complex Deep Learning and NLP problems end-to-end. Strong classical machine learning knowledge. Language requirements: Specific requirements: Educational level: Tagged as: Industry , Machine Learning , NLP , Unspecified Note: Due to high application volumes, we may not be able to respond to every applicant. Please continue to apply for future roles that match your expertise. #J-18808-Ljbffr