Boosted.ai is a fintech company headquartered in Toronto, Canada with offices in New York City. We provide AI tools to asset managers to augment their equity capital markets research. Boosted.ai empowers finance professionals to use AI and machine learning to sort through massive amounts of data to find stock opportunities. We are a well funded, post Series-B company - our lead investors are innovators and disruptors in financial and technology markets, including Spark Capital (Twitter, Slack, Affirm), Ten Coves Capital (Plaid, Sentieo, TouchBistro), Portage Ventures (Wealthsimple, Borrowell, Nesto), and RBC (Royal Bank of Canada).

Position Description

We are seeking a talented Machine Learning Engineer to join our team. The successful candidate will be responsible for developing and implementing state-of-the-art machine learning algorithms for our investment management platform. This role requires expertise in machine learning, statistics, and data analysis, as well as a passion for innovation and a desire to drive real-world impact.

Responsibilities

• Conduct research in the use of large language models for novel applications
• Conduct research in machine learning and statistical modeling, with a focus on developing novel algorithms and methodologies for investment management
• Design and implement experiments to evaluate the performance of machine learning models
• Collaborate with other members of the research team to develop and refine algorithms and models
• Work closely with the engineering team to implement machine learning models in production
• Stay up-to-date with the latest developments in machine learning research and apply them to our platform
• Communicate research findings and methodologies to both technical and non-technical stakeholders

Requirements

• Masters or PhD in computer science, statistics, or a related field, with a focus on machine learning
• Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
• Strong problem-solving skills and ability to work independently as well as part of a team
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Experience working in the finance industry or with financial data
• Familiarity with natural language processing, time-series analysis, or deep learning techniques
• Experience with cloud computing platforms such as AWS, Google Cloud, or Azure

Diverse Perspectives

We know that innovation thrives on product teams where diverse points of view come together to solve hard problems in ways that are just now possible.  As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences.  Please be prepared to share with us how your perspective will bring something unique and valuable to our product teams.