6 Jobs found

Requirements • MS degree with 2+ years of experience or PhD in Computer Science or related majors with in-depth knowledge of machine learning technologies (LLM/Recommendation System/Advertising Algorithm/NLP/CV), • Expert knowledge in Python and Java/Go, • Familiarity with data storage types, such as MongoDB, Redis, SQL, etc, • A strong passion for emerging technologies and a proven track record in analytical and problem-solving skills, • Excellent communication, teamwork, and project management skills are highly valued, • Publications in Machine Learning and LLM are preferred What the job involves • We’re on the lookout for a researcher in the NLP/multimodal field who is eager to make a significant impact with advanced technologies, • Develop multimodal content understanding and...

The Global Data Training Program Your career as a Global Data Analyst will begin with our foundational training programme that focuses on financial concepts, data, and Bloomberg terminal functionality. The training offers an overview across all financial market sectors that build a foundation for a career at Bloomberg by developing product knowledge, understanding our clients, and building relationships throughout the company. After successfully completing the training, you will be prepared to begin your career as a Global Data Analyst. Bloomberg Global Data is one of the world’s leading sources of data, providing accurate, up-to-the-second insights for financial market professionals. Our Data Analysts are immersed in all aspects of Bloomberg. Data teams include Commodities; Corporate ...

Data Scientist / Machine Learning Engineer, Vice President Private Markets is one of the fastest growing asset classes in global financial markets, covering all investments asset classes like real estate, commodities, private equity, hedge funds, and private credit, that are not traded on public exchanges. Our group works within the Aladdin engineering department building machine learning solutions to facilitate private market investing at BlackRock, and for Aladdin clients. Alts differs from other major asset classes as investment data generally comes in documents in semi or unstructured formats. Our job in the Data Science and Machine Learning group within Private Markets Systems, is to build the systems we need to gather data automatically and at scale and generate investment insight...

Working at SambaNova At SambaNova, our dedication goes beyond merely innovating in AI technology; we actively bring these innovations into the real world each day. You will play a key role in crafting highly capable generative AI models and solutions, designed to meet the diverse needs of sectors ranging from enterprise to government. Our culture thrives on creativity and advancement, and your expertise will be crucial in driving the progress of generative AI. We focus on delivering solutions that excel in accuracy, efficiency, safety, accessibility, and robustness for practical applications. As a senior member of our team, you will not only contribute to the evolution of generative AI capabilities but also significantly shape the future of Enterprise AI. Responsibilities • Designing ...

Machine Learning Engineer – NLP and LLM’s We are currently seeking a Machine Learning Engineer with expertise in NLP and LLM’s to join a fast-paced startup in London. As a member of the AI team, you will be responsible for building and deploying machine learning models specifically in the LLM’s space. • Lead projects from ideation to deployment, including model building and production deployment in a cloud environment. • Work on LLM’s specific projects for the business. • Communicate effectively with both technical and non-technical stakeholders. Your qualifications and experience: • Bachelor’s degree in a quantitative field. • At least 1 year of commercial experience in Data Science with expertise in NLP and LLM’s. • Experience in deploying models into production in a cloud environment...

Staff Compiler Engineer, Core Machine Learning, Google Cloud Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • Candidates will typically have 8 years of experience in software development, and with data structures/algorithms. • Typically have 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. • Typically have 5 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, or natural language processing. Preferred qualifications: • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • Typically 3 years of experience in a technical leadership role leading project teams and setting techni...