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Q.ai · 3 weeks ago

Expert AI/ML Algorithm Developer (Boston)

Boston, MA

Full-time

Onsite

Mid Level

Q.ai is seeking an enthusiastic, talented Machine Learning Engineer to join their team of experts focused on bringing the latest advances in machine learning into production. The role involves designing, training, and iterating on large neural network models, running evaluations, and implementing cutting-edge research to improve machine learning techniques.

Artificial Intelligence (AI)FinTechInformation TechnologySoftware

No H1B

U.S. Citizen Only

Responsibilities

Develop, train, and validate machine learning models for various applications

Stay updated on the latest developments in machine learning and communicate these developments to the rest of the team

Implement current advances in ML and best practices by constructing, training and iterating over SOTA NN models

Collaborate with data scientists, software engineers, and data collection teams, to direct data collection and ensure quality

Conduct data preprocessing, and exploratory data analysis to support model development

Document model architecture, processes, and results to ensure reproducibility and knowledge sharing

Analyze and preprocess large datasets to ensure quality and suitability for model training

Qualification

Machine LearningNeural NetworksDeep LearningPyTorchTensorFlowJAXCommunication SkillsProblem-Solving SkillsTeam Collaboration

Required

M.Sc. in computer science with a thesis in fields of AI / ML / Data science and equivalents - a must

Experience with ML libraries, such as PyTorch, Tensorflow, JAX. Solid understanding of machine learning algorithms, neural networks, and deep learning techniques

Strong communication skills, excellent problem-solving skills with the ability to work independently and as part of a team in a fast-paced, innovative environment

Research experience in ML, ability to discuss and show previous ML projects/publications

Candidates must have permanent US Work authorization (no visa sponsorship by Q)

This is a full-time, on-site position in Boston