MACHINE LEARNING ENGINEER

$185,000 - $200,000/Yr

Harnham - New York, NY

Full-time - Mid Level

New York, NY

Professional, Scientific, and Technical Services

About the position

As a Machine Learning Engineer at Harnham, you will play a pivotal role in the deployment and scaling of machine learning models and algorithms. This position requires you to work closely with both data science and engineering teams to ensure that complex machine learning models are effectively put into production. You will be responsible for end-to-end deployment, which includes not only the development of models but also the engineering of adaptable data pipelines that can handle both structured and unstructured data. In addition to deploying new models, you will also maintain existing datasets that contain large volumes of information. This involves rethinking how these datasets can be applied in various scenarios to maximize their utility. As a successful individual contributor, you will be expected to work hands-on with all aspects of machine learning model building, deployment, and infrastructure, ensuring that the solutions you develop are robust and scalable. This role is ideal for someone who thrives in a fast-paced environment and is eager to contribute to a company that is at the forefront of AI technology. You will have the opportunity to empower individuals and teams by providing them with the tools they need to make informed decisions based on data.

Responsibilities

• Work alongside data science and engineering teams to deploy and scale models and algorithms.
• Produce and put complex machine learning models into production; end-to-end deployment is necessary.
• Engineer adaptable data pipelines to maintain structured and unstructured data.
• Maintain existing data sets that hold large amounts of information, rethinking how they can be applied in different scenarios.
• Be a successful individual contributor; work technically hands-on with all machine learning model building, deployment, and infrastructure.

Requirements

• Able to successfully understand machine learning modeling and infrastructure technologies.
• Experience working with recommendation engines and how they work in production.
• Previous experience in hyper-growth start-ups or big tech environments is ideal.
• Infrastructure engineering and data science experience preferred.

Benefits

• Competitive salary ranging from $180,000 to $200,000 based on experience.
• Equity options.