Our team of experienced software engineers and data scientists work on experimental, cutting-edge projects while hosting and supporting business applications that are mission-critical to enterprises around the world.
We take an interdisciplinary approach to analytics combining robust optimization, statistical machine learning, deep learning, and systems dynamics methods to build domain-specific algorithms and solutions that learn from data and alter their behavior accordingly.
We maintain a unique organizational structure tailored to the needs of the innovative projects we deliver and the people who deliver them. Our environment is collaborative, flat, and based on principles of accountability, flexibility, and transparency.
We want to provide our people with something that matters to them — an opportunity to learn, career growth, and a sense of community.
We are always interested in hearing from experienced Machine Learning Engineers or Scientists, regardless of immediate openings. If you’re interested in working with our team please send your resume and cover letter or a note about yourself to firstname.lastname@example.org
Current part-time internship opportunities are unpaid and are available for the right candidates seeking to build their portfolio, experience the start-up life, and gain connections and mentoring.
HOW TO APPLY
Apply on AngelList or send an email to email@example.com. Please include any information that will help us get to know you better and links to your GitHub or recent projects/papers.
Algomus, Inc. is an equal opportunity employer and we value diversity. We do not discriminate by race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.