Machine Learning Engineer - Platform

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Apache Airflow, AWS, Azure, C++, Data science techniques, Data structuring, Deep Learning, GoLang, Google Cloud Platform (GCP), Java Programming, JAX framework, Machine learning techniques, MLflow, MLOps tools, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

Welcome to Pryon, a place for people who want to define the state of the art: real AI (oxymoron intended), developed by real pioneers, solving real problems of consequence. Our company was built by some of the most well-known experts in the field, whose DNA lives on in Alexa, Siri, Watson, and virtually every other AI product on the market. But the best part of the story is still to come: We’re creating a world-class culture fueled by intellectual curiosity and radical technology — to reduce the distance between knowledge and people.

We’re a team of AI, tech, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.

We seek to hire a Machine Learning Engineer with a focus on our Platform and Tools for our AI Research team. In this role you will be responsible for:

In This Role, You Will:

• Work with our research and engineering teams to build an agile Machine Learning Research platform.
• Extend the capabilities of our machine intelligence, natural language processing, and inference engines.
• Help with integrating these components into our production environment.

What You'll Need to Be Successful

• MS or PhD in Computer Science, Data Science, or a related technical field. BS with relevant experience is also acceptable.
• Strong foundation in Computer Science with competencies in data structures, algorithms, and software design.
• Experience with MLOps frameworks like Airflow, MLFlow, Argo, etc.
• Expertise in one or more Python, Java, Golang, C++.
• Experience with one or more of: Deep Learning, Deep Reinforcement Learning, Natural Language Processing, Computer Vision, and Speech Recognition.
• Experience with one or more of TensorFlow, PyTorch, Jax, or another deep learning toolkit.
• Experience with cloud-based development environments such as AWS, Azure, or Google. Experience with micro-service creation is a plus.
• Experience working in an agile software engineering environment with tools such as Jira and Git and demonstrated ability to produce product-level code is a plus.
• Industry or research experience in data analytics, machine learning, and software development.
• Problem-solving skills. Hands-on, get-stuff-done attitude.
• Team player with the ability to work in a close-knit, fast-paced startup environment.

$145,000 - $180,000 a year

Actual cash compensation may vary depending on factors including, but not limited to, location and experience. The range listed is just one component of Pryon's compensation package.