ML Engineer - Series A NYC based AI Company

Zearch are pleased to be assisting in the search for an innovative and creative Machine Learning Engineer/Researcher to join a Series A hyper growth AI company in NYC

In this hybrid role, you will be responsible for both developing and researching cutting-edge machine learning systems. You will work closely with our clients data science team and CEO to study and transform data science prototypes into robust machine learning applications.

Responsibilities:

• Study and transform data science prototypes into efficient machine learning models.
• Design and develop advanced machine learning systems.
• Research and implement appropriate machine learning algorithms and tools.
• Develop and deploy machine learning applications according to specified requirements.
• Select and preprocess appropriate datasets and determine suitable data representation methods.
• Conduct and manage machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results to optimize model performance.
• Train and retrain systems as necessary to ensure continuous improvement.
• Extend and enhance existing machine learning libraries and frameworks.
• Keep abreast of the latest developments and innovations in the field of machine learning.
• Collaborate with cross-functional teams to integrate machine learning solutions into broader business processes.
• Design and implement training pipelines using existing machine learning models.
• Contribute to the creation of technical documentation and user guides.

Requirements and Skills:

• Proven experience as a Machine Learning Engineer, Machine Learning Researcher, or similar role.
• Strong understanding of data structures, data modeling, and software architecture.
• Deep knowledge of mathematics, probability, statistics, and algorithms.
• Proficiency in writing robust code in programming languages such as Python, Java, and R.
• Familiarity with popular machine learning frameworks (e.g., Keras, PyTorch) and libraries (e.g., scikit-learn).
• Excellent communication skills to effectively convey complex technical concepts.
• Ability to work collaboratively in a team environment.
• Outstanding analytical and problem-solving skills with a keen attention to detail.
• Innovative, creative, and curious mindset, with a passion for continuous learning and improvement.
• Bachelor’s degree in Computer Science, Mathematics, or a related field; a Master’s degree is a plus.

Preferred Qualifications:

• Experience with designing and implementing training pipelines for machine learning models.
• Demonstrated ability to innovate and think creatively in solving complex technical challenges.
• Strong research background with the ability to stay current with the latest advancements in machine learning technology.