Associate Software Engineer - AI/ML

Schweitzer Engineering Laboratories•Pullman, WA

18h•Onsite

About The Position

Schweitzer Engineering Laboratories (SEL) seeks a professional, innovative and detailed individual for our Associate Software Engineer position. If you are looking for an opportunity to apply state-of-the-art machine learning (ML) and artificial intelligence (AI) models to solve real world problems, then this position is for you! US Citizenship is required.

Requirements

You are a United States citizen.
Have programming experience in Python, C++, C#, Java or equivalent OO programming language.
You are able to research advanced topics in depth and apply techniques and/or concepts to new domains.
You are interested in statistics and data-driven methods.
You can apply theoretical knowledge to current technical challenges.
You can effectively document and communicate research methods, analysis, and results.
You are able to learn new skills and assume new responsibilities.
You are able to work cooperatively in a team environment.

Nice To Haves

Understanding of ML concepts including supervised and unsupervised learning, neural networks, and feature engineering
Experience using operating system virtualization tools such as Docker
Familiarity with Linux based operating systems such as Ubuntu
Practical knowledge of web application development and REST APIs
Knowledge of database concepts and databases such as SQL, MongoDB, PostgreSQL
Experience using revision control and source code management systems such as Git
Familiarity with a range of subjects possibly including machine learning, linear algebra, data science, theory of computation, graph theory, signal processing, information theory, cryptography, probability, statistics, differential equations, optimization, etc.
Experience with natural language processing, computer vision, or similar ML technologies
Experience with parallel processing and using graphical processing units

Responsibilities

Applying machine learning and artificial intelligence technologies to solve real-world problems.
Designing and building software systems that integrate machine learning models into production systems and day-to-day workflows.
Implementing end-to-end model development workflows, including fine-tuning models, training custom models from raw data, and deploying models to production environments.
Ingesting, cleaning, and transforming large datasets using database systems, applying standard data preparation techniques and thoughtfully managing and optimizing compute resources.
Using robust mathematical tools across diverse areas of research to apply creative solutions to technical problems.
Researching advanced topics and systematically and scientifically testing new ideas.
Supporting SEL’s software development process.
Verifying that software meets requirements.
Providing support to engineering staff as needed.
Following engineering quality assurance procedures.
Continuously identifying, measuring, and improving processes.
Understanding. Creating. Simplifying.
Clearly and concisely documenting findings.