Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Developing and deploying machine learning models for optimal performance and scalability, with an accent on deep learning architectures and building ML platforms. Focus on adapting recent ML literature to real-world applications and managing large datasets for training.

Location: Candidates must reside in or near Cambridge, MA or San Mateo, CA. This role is not open to other locations at this time.

Company

hirify.global develops a platform that uses generative AI for tabular data, enabling business users to leverage no-code AI/ML and build enterprise-wide AI apps.

What you will do

• Develop and deploy machine learning models for optimal performance and scalability.
• Build tools and services to enhance the ML platform using technologies like Kubernetes, Helm, and EKS.
• Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems.
• Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications.
• Manage large datasets and build ML pipelines for data processing and training.
• Design and develop scalable ETL/ELT data integration processes.

Requirements

• Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience.
• Strong understanding of data structures, data modeling, algorithms, and software architecture.
• Proficient in probability, statistics, and algorithm development.
• Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib).
• Proficiency in Python, AWS services, and ETL/ELT pipelines.
• Understanding of key software design principles, design patterns, and testing best practices.
• Excellent organizational, time management, and communication skills.

Nice to have

• Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm).
• Experience with Kubernetes and/or EKS.

Culture & Benefits

• Be part of a high-performing team focused on AI/ML.
• Work in a collaborative problem-solving environment.
• Engage in pair programming, knowledge sharing, and constructive feedback.
• Join a fast-paced, agile environment.
• Benefit from an inclusive environment and equal employment opportunities.